7,024 Autonomous Driving Systems jobs in India
Machine Learning
Chennai, Tamil Nadu
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• Strong Working Python, C++, C expertise -
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
This advertiser has chosen not to accept applicants from your region.
0
Associate Machine Learning
Haryana, Uttar Pradesh
Sprinklr
Posted 1 day ago
Job Viewed
Job Description
Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world's most valuable enterprises - global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.
Learn more about our culture and how we make our employees happier through The Sprinklr Way.
**Job Description**
**Why You'll Love Sprinklr:**
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.
We're excited that you're interested in joining Sprinklr!
Please check back frequently to follow up on the progress of your application and continue to update your contact information as appropriate.
Here at Sprinklr, we're on a mission to help every organization on the planet create unified experiences that make customers happier. That customer obsession mirrors our commitment to our own people - to treating them like family, and to sharing a culture that reflects our values.
Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal employment opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
See Sprinklr's EEO Policy and Equal Employment Opportunity is the Law notice.
Sprinklr is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you have a disability or special need that requires accommodations, please let us know by filling out this form ( .
Learn more about our culture and how we make our employees happier through The Sprinklr Way.
**Job Description**
**Why You'll Love Sprinklr:**
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.
We're excited that you're interested in joining Sprinklr!
Please check back frequently to follow up on the progress of your application and continue to update your contact information as appropriate.
Here at Sprinklr, we're on a mission to help every organization on the planet create unified experiences that make customers happier. That customer obsession mirrors our commitment to our own people - to treating them like family, and to sharing a culture that reflects our values.
Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal employment opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
See Sprinklr's EEO Policy and Equal Employment Opportunity is the Law notice.
Sprinklr is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you have a disability or special need that requires accommodations, please let us know by filling out this form ( .
This advertiser has chosen not to accept applicants from your region.
1
Associate Machine Learning
Karnataka, Karnataka
Sprinklr
Posted 1 day ago
Job Viewed
Job Description
Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world's most valuable enterprises - global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.
Learn more about our culture and how we make our employees happier through The Sprinklr Way.
**Job Description**
**Why You'll Love Sprinklr:**
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.
We're excited that you're interested in joining Sprinklr!
Please check back frequently to follow up on the progress of your application and continue to update your contact information as appropriate.
Here at Sprinklr, we're on a mission to help every organization on the planet create unified experiences that make customers happier. That customer obsession mirrors our commitment to our own people - to treating them like family, and to sharing a culture that reflects our values.
Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal employment opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
See Sprinklr's EEO Policy and Equal Employment Opportunity is the Law notice.
Sprinklr is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you have a disability or special need that requires accommodations, please let us know by filling out this form ( .
Learn more about our culture and how we make our employees happier through The Sprinklr Way.
**Job Description**
**Why You'll Love Sprinklr:**
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks and virtual fitness. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.
We're excited that you're interested in joining Sprinklr!
Please check back frequently to follow up on the progress of your application and continue to update your contact information as appropriate.
Here at Sprinklr, we're on a mission to help every organization on the planet create unified experiences that make customers happier. That customer obsession mirrors our commitment to our own people - to treating them like family, and to sharing a culture that reflects our values.
Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal employment opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
See Sprinklr's EEO Policy and Equal Employment Opportunity is the Law notice.
Sprinklr is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you have a disability or special need that requires accommodations, please let us know by filling out this form ( .
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 1 day ago
Job Viewed
Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
This advertiser has chosen not to accept applicants from your region.
3
Engineer - Machine Learning
Gurugram, Uttar Pradesh
United Airlines
Posted 3 days ago
Job Viewed
Job Description
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
+ Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
+ You will design and develop tools and apps to enable ML automation using AWS ecosystem
+ Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications
+ Support large scale model training and serving pipelines in distributed and scalable environment
+ Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
+ Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
+ Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree
+ Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
+ 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing
+ 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
+ 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
+ 2+ years of experience with cloud-native DevOps, CI/CD
+ 1+ years of experience with Generative AI/LLMs
+ Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
+ Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
+ Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
+ Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
+ Experience with generative models such as GANs, VAEs, and autoregressive models
+ Prompt engineering
+ Ability to design and craft prompts that evoke desired responses from LLMs
+ LLM evaluation
+ Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
+ LLM debugging
+ Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
+ LLM deployment
+ Ability to deploy LLMs in production environments and ensure that they are reliable and secure
+ Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree
+ Computer Science or related STEM field
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
+ Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
+ You will design and develop tools and apps to enable ML automation using AWS ecosystem
+ Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications
+ Support large scale model training and serving pipelines in distributed and scalable environment
+ Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
+ Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
+ Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree
+ Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
+ 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing
+ 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
+ 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
+ 2+ years of experience with cloud-native DevOps, CI/CD
+ 1+ years of experience with Generative AI/LLMs
+ Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
+ Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
+ Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
+ Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
+ Experience with generative models such as GANs, VAEs, and autoregressive models
+ Prompt engineering
+ Ability to design and craft prompts that evoke desired responses from LLMs
+ LLM evaluation
+ Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
+ LLM debugging
+ Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
+ LLM deployment
+ Ability to deploy LLMs in production environments and ensure that they are reliable and secure
+ Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree
+ Computer Science or related STEM field
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer
Ralliant
Posted 10 days ago
Job Viewed
Job Description
**Job Title:** Machine Learning Engineer
**Location:** Hybrid
**Job Type:** Full-time
**About Us:**
Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We're looking for a talented and passionate **MLE** to join our dynamic team and help us continue to push the boundaries of AI.
· **Model Deployment & MLOps:**
+ Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments.
+ Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference.
+ Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP).
· **Automation & Scripting:**
+ Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools.
+ Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies.
· **Cloud Platforms & Infrastructure:**
+ Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems.
+ Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively.
· **Data Pipelines & Integration:**
+ Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering.
+ Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models.
· **Monitoring, Logging & Troubleshooting:**
+ Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health.
+ Diagnose and resolve issues across the machine learning pipeline and deployed models.
· **Collaboration & Communication:**
+ Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards.
+ Effectively communicate complex ML concepts and technical details to non-technical stakeholders.
· **GenAI & AI Agents Expertise:**
+ Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments.
+ Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles.
· **Security & Compliance:**
+ Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations.
+ Address vulnerabilities, ensuring safe and secure deployment of models in production environments.
· **Optimization & Cost Management:**
+ Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs.
+ Regularly review and improve the efficiency of machine learning workflows.
· **Testing & Validation:**
+ Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models.
+ Use automated testing frameworks to continuously validate model performance.
**Required Skills & Qualifications:**
+ **Education** : Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
+ **Experience** :
+ Proven experience (3+ years) in machine learning engineering, MLOps, or related fields.
+ Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines.
+ Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation).
+ Strong coding experience in Python, Bash, or other scripting languages.
+ Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale.
+ Experience working with databases (SQL, NoSQL) and building data pipelines.
+ **DevOps & CI/CD** :
+ Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment.
+ **AI Agents** : Familiarity with the latest AI agent frameworks and their deployment in real-world applications.
+ **Data Science Concepts** : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques.
+ **Problem-Solving** : Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments.
+ **Collaboration & Communication** : Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders.
**Preferred Qualifications:**
+ Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms.
+ Experience with large-scale ML systems and distributed computing.
+ Understanding of ethical AI practices and AI fairness.
+ Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning.
**Technical Skills:**
+ Proficiency in Python, R, or other relevant programming languages.
+ Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark).
+ Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.
**Soft Skills:**
+ Strong communication skills with the ability to translate complex technical concepts into business-friendly language.
+ Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams.
+ Leadership potential or experience mentoring junior team members.
**Preferred Qualifications:**
+ Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services.
+ Experience working with containerization technologies like Docker and Kubernetes for model deployment.
+ Exposure to the latest trends in AI ethics, explainability, and fairness.
**Company Overview:**
Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies
**These are the traits we value:**
+ You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results.
+ Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team.
+ Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking.
+ Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear "right answer".
+ Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors.
+ Positive Outlook: A desire to look past the objections in search of the opportunity.
+ Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view.
+ A need for speed; demonstrated ability to make decisions quickly and to act upon them.
+ Alongside a team of entrepreneurial, high-performing, curious people, you'll deliver breakthrough solutions to drive sustainable growth for Ralliant
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About NewCo**
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
**Location:** Hybrid
**Job Type:** Full-time
**About Us:**
Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We're looking for a talented and passionate **MLE** to join our dynamic team and help us continue to push the boundaries of AI.
· **Model Deployment & MLOps:**
+ Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments.
+ Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference.
+ Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP).
· **Automation & Scripting:**
+ Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools.
+ Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies.
· **Cloud Platforms & Infrastructure:**
+ Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems.
+ Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively.
· **Data Pipelines & Integration:**
+ Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering.
+ Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models.
· **Monitoring, Logging & Troubleshooting:**
+ Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health.
+ Diagnose and resolve issues across the machine learning pipeline and deployed models.
· **Collaboration & Communication:**
+ Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards.
+ Effectively communicate complex ML concepts and technical details to non-technical stakeholders.
· **GenAI & AI Agents Expertise:**
+ Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments.
+ Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles.
· **Security & Compliance:**
+ Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations.
+ Address vulnerabilities, ensuring safe and secure deployment of models in production environments.
· **Optimization & Cost Management:**
+ Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs.
+ Regularly review and improve the efficiency of machine learning workflows.
· **Testing & Validation:**
+ Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models.
+ Use automated testing frameworks to continuously validate model performance.
**Required Skills & Qualifications:**
+ **Education** : Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
+ **Experience** :
+ Proven experience (3+ years) in machine learning engineering, MLOps, or related fields.
+ Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines.
+ Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation).
+ Strong coding experience in Python, Bash, or other scripting languages.
+ Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale.
+ Experience working with databases (SQL, NoSQL) and building data pipelines.
+ **DevOps & CI/CD** :
+ Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment.
+ **AI Agents** : Familiarity with the latest AI agent frameworks and their deployment in real-world applications.
+ **Data Science Concepts** : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques.
+ **Problem-Solving** : Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments.
+ **Collaboration & Communication** : Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders.
**Preferred Qualifications:**
+ Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms.
+ Experience with large-scale ML systems and distributed computing.
+ Understanding of ethical AI practices and AI fairness.
+ Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning.
**Technical Skills:**
+ Proficiency in Python, R, or other relevant programming languages.
+ Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
+ Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark).
+ Familiarity with DevOps practices and CI/CD pipelines for ML model deployment.
**Soft Skills:**
+ Strong communication skills with the ability to translate complex technical concepts into business-friendly language.
+ Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams.
+ Leadership potential or experience mentoring junior team members.
**Preferred Qualifications:**
+ Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services.
+ Experience working with containerization technologies like Docker and Kubernetes for model deployment.
+ Exposure to the latest trends in AI ethics, explainability, and fairness.
**Company Overview:**
Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies
**These are the traits we value:**
+ You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results.
+ Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team.
+ Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking.
+ Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear "right answer".
+ Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors.
+ Positive Outlook: A desire to look past the objections in search of the opportunity.
+ Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view.
+ A need for speed; demonstrated ability to make decisions quickly and to act upon them.
+ Alongside a team of entrepreneurial, high-performing, curious people, you'll deliver breakthrough solutions to drive sustainable growth for Ralliant
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
**Ralliant Corporation Overview**
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
We Are an Equal Opportunity Employer
Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at
**About NewCo**
**Bonus or Equity**
This position is also eligible for bonus as part of the total compensation package.
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Engineer
Bengaluru, Karnataka
Spydra
Posted today
Job Viewed
Job Description
Job Summary: We are seeking a talented and motivated Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models and systems that drive our products and services.
Key Responsibilities:
- Develop and implement machine learning algorithms and models.
- Design and conduct experiments to evaluate the performance of machine learning models.
- Collaborate with cross-functional teams to integrate machine learning solutions into products.
- Analyze large datasets to extract meaningful insights and patterns.
- Optimize and tune machine learning models for performance and scalability.
- Monitor and maintain deployed models, ensuring their performance in a production environment.
- Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
- Write clean, maintainable, and efficient code.
- Document processes, experiments, and results comprehensively.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong understanding of machine learning algorithms and techniques (e.g., supervised and unsupervised learning, reinforcement learning, deep learning).
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with data preprocessing and feature engineering techniques.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with natural language processing (NLP) and computer vision.
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience with version control systems (e.g., Git).
- Understanding of DevOps practices and CI/CD pipelines.
This advertiser has chosen not to accept applicants from your region.
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About the latest Autonomous driving systems Jobs in India !
6
Machine Learning Engineer
Pune, Maharashtra
Skylark Labs
Posted today
Job Viewed
Job Description
Location: Pune
Experience: 2+ years
Employment Type: Full-Time
About Skylark LabsAt Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving toward true general intelligence. Our mission is to transform the world by creating adaptive AI systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future.
We are building scalable AI-driven solutions to power next-generation visual intelligence systems. Join our team of passionate engineers and researchers to solve real-world computer vision problems across domains like robotics, smart cities, manufacturing, surveillance, and public safety - all while contributing to the future of embodied AI.
Key Responsibilities- Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks
- Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data
- Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment
- Optimize model inference performance on both cloud and edge computing platforms
- Develop and fine-tune deep learning architectures using modern frameworks
- Integrate computer vision models into production pipelines and edge-based inference systems
- Collaborate with MLOps/DevOps and product teams to deploy CV solutions at scale
- Research and evaluate emerging techniques to continuously improve system accuracy and efficiency
- 2+ years of hands-on experience in computer vision and deep learning development
- Proficiency in Python with computer vision libraries and data processing tools
- Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures
- Experience with deployment and optimization on edge computing devices
- Familiarity with hardware acceleration and model optimization tools
- Understanding of classical computer vision techniques, including image processing fundamentals
- Experience in data pipeline management for vision applications
- Proficiency with version control systems and collaborative development workflows
- Basic experience working with video streams from cameras, drones, or embedded platforms
- Experience with model serving frameworks and inference optimization tools
- Familiarity with MLOps practices and CI/CD pipeline integration
- Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding
- Knowledge of cloud AI services and edge computing platforms
- Experience with real-time object tracking algorithms
- Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Researcher
Mercity
Posted today
Job Viewed
Job Description
We are seeking a Machine Learning Researcher to join our team. You will be working on cutting-edge research projects, building experimental prototypes, and documenting your findings through technical publications. This is a fully remote position, initially a 3-month research engagement with the potential for extension or full-time offer based on performance and research contributions. This is a paid position at ₹15,000-20,000/month .
This is an exciting opportunity to work in a dynamic research environment and contribute to advancing the field of AI development. This is a completely remote role where you will work on your own schedule. No micro-management, promise.
You will be learning cutting-edge techniques and contributing to original research, so don't worry if you do not meet all qualifications. As long as you can learn, adapt, and think critically about research problems, this will be a valuable experience for you.
Responsibilities
- Research and implement advanced techniques like LoRA, Fine-Tuning, Transfer Learning, RLHF, GRPO, and emerging training methodologies in experimental settings.
- Read and analyze recent research papers, reproduce key findings, and contribute to our understanding of state-of-the-art AI concepts.
- Design and conduct experiments for client-facing research projects under guidance of senior researchers.
- Document your research journey by writing technical articles and research summaries that explain complex AI topics and your experimental findings.
- Contribute to model training pipelines and evaluate novel approaches for improving model performance.
Qualifications
- Strong foundation in machine learning research or similar experience, with focus on NLP and deep learning.
- Excellent programming skills with proven experience implementing Python-based research solutions.
- Proficiency with research-essential libraries (NumPy, pandas, scikit-learn) and experimental frameworks.
- Experience with ML research frameworks (PyTorch, TensorFlow, Keras), text embeddings, and transformer architectures.
- No degree required - if you have research aptitude and technical skills, we'd love to work with you.
- Excellent written and verbal communication skills for research documentation.
- Strong analytical and research methodology skills to design experiments and validate findings.
- Ability to read, understand, and implement techniques from AI research papers.
Bonus Experience
- LLMs and research tooling: Advanced agents, GPT variants, Langchain, HuggingFace research tools, etc.
- Modern training techniques: Reinforcement Learning from Human Feedback (RLHF), Constitutional AI, preference learning.
- Deep learning research, reinforcement learning, generative models, and multi-modal AI systems.
Interview Process (<3 days)
- 1 x Phone Screen | 10 mins
- 1 x Technical Research Interview | 1 hour
Note: This is a 3-month research position, with the potential to transition into a full-time research role.
We don't hire based on DSA. You'll be a good fit if you're passionate about AI research and capable of building experimental applications and conducting meaningful research. We prefer people who are strong in AI fundamentals, research methodology, and open to exploring any framework/library as required for their research.
Degrees are redundant. First-time researchers and recent graduates are encouraged to apply. Will hire based on research potential and curiosity. Work from wherever, whenever. Immediate joiners only.
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
Hyderabad, Andhra Pradesh
SciTech Patent Art Services Private Limited
Posted today
Job Viewed
Job Description
About SciTech Patent Art
At SciTech Patent Art , we leverage cutting-edge technology to deliver innovative solutions in intellectual property and research domains. Our AI/ML team works on real-world applications of Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI —driving impactful change across industries.
We are looking for an AI/ML Engineer with a passion for solving challenging problems, experimenting with new AI techniques, and deploying models that deliver measurable results.
Role Overview
As an AI/ML Engineer at SciTech Patent Art, you will collaborate with data scientists, software engineers, and domain experts to design, develop, and deploy AI-powered solutions . This role offers the opportunity to work on large datasets, build advanced NLP pipelines, and experiment with state-of-the-art LLMs to create real-world impact.
Key Responsibilities
- Design, develop, and optimize machine learning models for NLP, computer vision, and predictive analytics.
- Apply prompt engineering and prompt chaining to improve AI performance.
- Work with tools like Langflow for AI orchestration.
- Handle large-scale text data —perform data preprocessing, feature engineering, and augmentation.
- Research, evaluate, and implement the latest ML algorithms and frameworks .
- Collaborate with cross-functional teams to turn business requirements into technical solutions .
- Deploy AI models to cloud environments (AWS, Azure, GCP) for production use.
Required Skills & Qualifications
- Bachelor’s or Master’s in Computer Science, Machine Learning, AI, or related field .
- 2–3 years of hands-on experience in AI/ML, with a strong focus on NLP and LLM-based projects .
- Proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Hugging Face Transformers , etc.).
- Strong skills in prompt engineering/prompt chaining .
- Experience with Langflow or similar AI workflow tools.
- Bonus: Familiarity with web crawling and scraping tools .
- Strong understanding of statistical concepts, ML algorithms, and model evaluation techniques .
- Experience with cloud platforms and model deployment.
- Excellent problem-solving, analytical, and communication skills.
Why Join Us?
- Innovative AI Work – Be part of projects at the forefront of NLP and Generative AI.
- Real-World Impact – Your solutions will directly shape client outcomes and business decisions.
- Collaborative Environment – Work alongside experts in AI, data science, and domain research.
- Continuous Growth – Access to training, research resources, and the latest AI tools.
Location: Hyderabad, India | Experience: 2–3 Years | Employment Type: Full-Time
This advertiser has chosen not to accept applicants from your region.
9