Explore exciting Machine Learning Engineer job opportunities. These roles involve developing algorithms and models that allow computers to learn from data. Machine learning engineers are in high demand across various sectors, including technology, finance, and healthcare, as companies seek to leverage data for better decision-making and automation. Key responsibilities include designing machine learning systems, conducting experiments, and implementing machine learning algorithms.7,387 Machine Learning Engineer jobs in India
Machine Learning Engineer
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Job Description
** Immediate Joiners Only - Please apply only if you're available to start right away. If you're currently serving a notice period or cannot join immediately, we kindly ask that you refrain from applying. **
*** We're only interested in candidates who have experience working with AI Agent frameworks —such as LangChain, Langraph , AutoGen, CrewAI, Auto-GPT, or custom-built systems. If you've explored multi-agent coordination, autonomous task execution, memory management, or tool-based reasoning using LLMs,***
Position: Machine Learning Engineer (Entry-Level, LLM Focus)
Location: Fully Remote (India-Based)
Start Date: Immediate
Format: Full time
Compensation: Competitive Salary + Strong Equity Offering + Benefits
Who We Are
Gabeo.ai is a cutting-edge health tech startup based in the Bay Area (USA), collaborating with industry leaders like Astrana Health, Athena Health and Rebound Orthopedics. Our goal? Transform the healthcare revenue cycle by using advanced AI to tackle denied medical claims—one of the sector’s biggest financial headaches.
At Gabeo.ai, we pride ourselves on:
- Innovation: We push boundaries and welcome out-of-the-box thinking.
- Collaboration: We’re a tight-knit team that values open communication.
- Impact: Your work will directly influence our AI-driven products and customer outcomes.
Role Overview
At Gabeo.ai, we are pioneering AI Agent Frameworks designed to automate and optimize complex tasks within healthcare revenue cycle management. These intelligent agents leverage Large Language Models (LLMs) and specialized domain knowledge to autonomously analyze claim data, predict denials, and execute strategic interventions. By continuously learning from real-world feedback and historical patterns, our agent-based systems evolve over time, adapting to new payer policies and medical coding updates. The result is a robust, scalable framework that reduces manual workload, accelerates claim resolution, and drives financial efficiency for healthcare providers. We’re seeking an entry-level Machine Learning Engineer with a keen interest in Large Language Models (LLMs) and NLP . You’ll join our global team to develop and refine AI models for U.S. healthcare revenue cycle management . This position offers real-world exposure to cutting-edge AI in a domain that truly needs innovation.
Note: While we encourage applications from candidates who have graduated from top-tier Indian institutes (e.g., IIT, NIT, IIIT, BITS, etc.), we welcome all qualified applicants who demonstrate strong fundamentals and a passion for AI.
Key Responsibilities
- Model Development: Collaborate on designing, developing, and optimizing ML models—AI Agents - particularly LLMs —for tasks like claim denial analysis and predictive analytics.
- Data Handling: Assist in data collection, preprocessing, and feature engineering specific to healthcare RCM (Revenue Cycle Management) problems.
- Research & Experimentation: Stay updated with the latest AI/ML trends and apply new techniques to improve model performance.
- Integration & Deployment: Work closely with senior engineers to integrate models into production environments, ensuring scalability and reliability.
- Performance Monitoring: Help monitor model accuracy and efficiency, proposing iterative improvements based on feedback and metrics.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related fields .
- Graduates from IIT, NIT, IIIT, BITS, or equivalent institutions are strongly encouraged to apply.
- Technical Skills:
- Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with NLP techniques , LLMs, and transformer-based architectures.
- Problem-Solving: Eagerness to tackle complex datasets and real-world issues in the U.S. healthcare domain.
- Team Player: Ability to communicate effectively with a distributed team, including data scientists, product managers, and domain experts.
What We Offer
- Real-World Impact: Contribute to AI solutions that directly benefit healthcare providers and patients.
- Mentorship & Growth: Learn from experienced data scientists and healthcare tech specialists.
- Competitive Package: Enjoy a market-aligned salary plus strong equity for an ownership stake in Gabeo.ai’s success.
- Remote Flexibility: Work from anywhere in India, collaborating with a global, diverse team.
Why Join Gabeo.ai?
- High-Growth Environment: We’re rapidly expanding, offering plenty of opportunities for leadership and skill development.
- Cutting-Edge AI: Work on advanced ML/AI projects that push the boundaries of LLM applications in healthcare.
- Startup Culture: Enjoy a fast-paced setting where your ideas can quickly translate to tangible impact.
How to Apply
Ready to kick-start your AI career and transform healthcare with Gabeo.ai? Apply now with your CV, Github/portfolio links, and a brief description of your most exciting AI/ML project.
Please Note: We are currently accepting applications only from India-based candidates who are either recent graduates or early-career professionals. While a background in US healthcare is a plus, it is not mandatory —we value strong ML fundamentals and a willingness to learn.
Join us in redefining healthcare revenue cycle management through the power of AI and LLMs !
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Machine Learning Engineer
Posted 9 days ago
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Job Description
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 as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**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.
Machine Learning Engineer
Posted 18 days ago
Job Viewed
Job Description
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.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Company Description
Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations. Giggso provides a single integrated platform for AI Agent orchestration, AI governance, monitoring and observability, incident management, automation, and remediation.
The platform is web 3.0 and blockchain-enabled, offering Model Risk Management solutions. Giggso aims to enhance decision-making and drive efficiency in AI ML systems for better customer experiences and cost management.
Role Description
This is a full-time hybrid role for a Machine Learning Engineer at Giggso, located in Chennai with flexibility for remote work. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, implementing statistical analysis, and optimizing algorithms for AI ML systems. The role involves working on complex AI ML systems and contributing to operational efficiency and risk management.
Qualifications
- Pattern Recognition, Neural Networks, and Algorithms skills
- LLM programming with strong NLP background
- Strong background in python and math reasoning
- Proficiency in Statistics
- Ability to develop and optimize algorithms for AI ML systems
- Experience with pattern recognition and neural network modeling
- Knowledge of statistical analysis techniques
- Demonstrated expertise in algorithm design and implementation
- Strong problem-solving and analytical skills
- Understanding of model deployment and monitoring processes
- Master's is needed while PhD in Computer Science, Statistics, or related field is a plus
Machine Learning Engineer
Posted 3 days ago
Job Viewed
Job Description
What you will enjoy doing
• You will develop, train, test and deploy machine learning models in various fields such as
computer vision, LLMs, tabular and time series data.
• Experimenting with novel deep learning based technologies such as self-supervised learning
and generative AI will also be part of your tasks
• You will support in setting up the MLOps infrastructure for existing and new AI products
• Additionally you will work directly with customer data and set up data pipelines to collect,
curate, transform and version data
You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across
business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers
in the AI team and others in the Global AI team.
As a Machine Learning Enginee, you will be working closely with our global AI team to create and
implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision.
What Makes You Great
• You have a Bachelor or Masters Degree in Data Science, Computational
Statistics/Mathematics, Computer Science or related field
• You know the basics of neural networks and have an initial practical experience with deep
learning frameworks like PyTorch and Tensorflow.
• You have experience in backend and API development with Python (FastAPI, Flask) or similar
• You demonstrate knowledge of and basic practical experience with Object Oriented
Programming, design patterns, algorithms and data structures, version control systems (e.g.
Git)
• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus
• Fluent English
Machine Learning Engineer
Posted 3 days ago
Job Viewed
Job Description
Machine Learning Engineer (Remote)
Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup)
Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.
What You’ll Do:
- Design, train, and deploy scalable machine learning models for real-world biotech applications
- Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Collaborate with backend teams to integrate ML models into applications and APIs
Requirements:
- 2–5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure )
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms, and software engineering best practices
- Experience with scientific/biotech/healthcare data is a plus
Perks:
- 100% remote
- Opportunity to apply ML in high-impact biotech solutions
- Startup culture: autonomy, innovation, and ownership
Machine Learning Engineer
Posted 4 days ago
Job Viewed
Job Description
Location: Remote
Type: Full-Time
Experience Required : Minimum 5 Years
About this Role:
Excelgig, a leading digital solutions partner, is hiring on behalf of Unicorn Labs B.V. (Netherlands) to expand their global AI team. We are looking for an AI Specialist with strong expertise in custom model development, training and end-to-end pipeline creation . This is a unique opportunity to contribute to impactful, large-scale AI solutions while working with an international team.
Responsibilities:
• Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
• Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
• Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.
• Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
• Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
• Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
• Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
Requirements:
• Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5+ years of hands-on experience in developing AI/ML solutions.
• Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
• Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Strong problem-solving ability and ability to work independently in a remote, fast-paced environment.
Preferred Skills
• Experience in fine-tuning Large Language Models (LLMs).
• Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
• Knowledge of microservices and API development for model integration.
• Experience with generative AI and reinforcement learning techniques.
Other Details
- Start Date: Immediate (in 10-15 Days).
- Equipment: Candidate must have their own laptop/device to work with.
What We Offer
• Work on international AI projects with Unicorn Labs B.V. (Netherlands).
• Competitive salary and growth opportunities.
• Remote-first, flexible working culture with cross-border collaboration.
• Access to cutting-edge AI research and tools.
• A chance to own end-to-end AI solutions with autonomy and creativity.
Machine Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
JD in AI/ML Developer
Job description
We are a leading technology firm with a subsidiary based in Pune, India, focusing on integrating cutting-edge artificial intelligence and machine learning technologies into customers applications. Our goal is to revolutionize how businesses operate by harnessing the power of AI to deliver innovative solutions. We are currently seeking a skilled AI/ML Developer to join our dynamic team and contribute to our mission of transforming the digital landscape.
Job Description
As an AI/ML Developer, you will be at the forefront of developing advanced applications integrating statistical models and AI-based models, including large language models like GPT, Llama and other proprietary and open-source/open-weight models as well as other types of ML models. You will work closely with our product and engineering teams to design, develop, and deploy AI-powered solutions that meet our clients' complex needs.
Key Responsibilities
Design and implement AI models using Python, focusing on leveraging various large language and statistical models using tools such as LangChain, ChatGPT, WatsonX etc.
Work with AI technologies to develop innovative solutions for real world problems.
Utilize tools like WatsonX, Watson Studio, Amazon sagemaker, Azure Machine Learning etc to enhance development workflows and model performance.
Collaborate with cross-functional teams to integrate AI/ML models into applications, ensuring they are scalable, efficient, and effective.
Stay abreast of the latest AI trends and technologies to ensure our solutions remain cutting-edge.
Mandatory Skills & Qualifications
Strong proficiency in Python and machine learning frameworks (Pytorch/Tensorflow).
Hands-on experience with LLMs (Large Language Models) and other neural networks.
Experience working with OpenAI GPT API or other open-source foundation models.
Familiarity with some of the following tools: WatsonX, langchain Watson Studio, Azure Machine Learning, AWS Sagemaker, Amazon Bedrock, Git, Docker
Proven track record of developing applications integrating both statistical and AI-based models.
We look forward to discovering how you can contribute to our team and mission!
Job Type: Full-time
Location Type:
- Hybrid
Schedule:
- Monday to Friday
Education:
- Bachelor's (Preferred)
Experience:
- Total work: 4 years (Preferred)
- Software development: 3 year (Preferred)
- Python: 3 year (Preferred)
- Machine Learning: 3 years (Preferred)
- Large Language Models: 2+ years (Preferred)
Ability to Commute:
- Pune, Maharashtra (Required)
Work Location: Hybrid
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Machine Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
We seek a Machine Learning Engineer colleague to join our world-class client, one of the
biggest and most advanced IT company.
• Remote work
• Employment/Contract Type: Contract
• Location: India
• Duration: 1 year (with potential to be extended)
• Hours per Week: 40 (Full-time)
Description:
We are seeking an experienced Machine Learning Engineer to join our growing team of
consultants. In this role, you will be responsible for designing, developing, and deploying machine
learning models and algorithms to solve complex business challenges with Databricks. You will work
closely with data scientists, data engineers, and business stakeholders to build scalable and efficient
machine learning solutions.
Key Responsibilities
● Design and implement machine learning models and algorithms with Databricks, including
predictive analytics, natural language processing, computer vision, and more.
● Lead the end-to-end development process, from data collection and preprocessing to model
deployment and monitoring.
● Collaborate with cross-functional teams to understand business requirements and translate
them into technical solutions.
● Optimize and fine-tune models for performance, accuracy, and scalability in a production
environment.
● Stay up-to-date with the latest advancements in machine learning and AI, and apply them to
improve existing systems.
● Contribute to the development of machine learning infrastructure, including data pipelines,
model serving frameworks, and monitoring tools.
● Collaborate with client stakeholders to drive solutions to solve business problems.
Qualifications
● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related
field; PhD is a plus.
● 3+ years of experience in machine learning engineering or related fields.
● 2+ years of experience with Databricks
● Proficiency in programming languages such as Python, R, or Java, with a strong understanding
of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and
monitoring.
● Strong problem-solving skills and ability to work in a fast-paced environment.
● Excellent communication and collaboration skills, with a track record of working effectively in
cross-functional teams
About Dexian
- Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Machine Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
Job Title: Machine Learning (ML) Engineer
Experience: 6–8 Years
Location: Pune (Remote)
Openings: 5
Notice Period: Immediate Joiners – 15 Days
About the Role
We are seeking highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. This role is perfect for professionals who excel in building, training, and deploying ML models at scale, with hands-on experience in modern ML frameworks and a strong interest in Large Language Models (LLMs) such as OpenAI GPT and Hugging Face Transformers .
Key Responsibilities
- Design, develop, and deploy machine learning models for production applications.
- Build and optimize end-to-end ML pipelines using PySpark and MLflow .
- Work with structured & unstructured data using Pandas, NumPy, and other libraries.
- Train, fine-tune, and evaluate models using Scikit-learn, TensorFlow, or PyTorch .
- Integrate and experiment with LLMs (GPT, Hugging Face Transformers, etc.) .
- Collaborate closely with data engineers, product managers, and developers .
- Monitor and improve model accuracy, reliability, and performance .
- Ensure reproducibility and proper versioning of ML experiments using MLflow .
Required Skills
- Strong programming expertise in Python .
- Solid understanding of ML algorithms, model development, and evaluation .
- Hands-on experience with PySpark for large-scale data processing.
- Proficient in MLflow for tracking experiments and lifecycle management.
- Strong knowledge of Pandas, NumPy, and Scikit-learn .
- Familiarity/experience with LLMs (OpenAI, Hugging Face, etc.) .
- Good understanding of MLOps principles and best practices for deployment.
Preferred Qualifications
- Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
- Exposure to cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
- Strong analytical, problem-solving, and teamwork skills.
Machine Learning Engineer
Posted 6 days ago
Job Viewed
Job Description
Job Description -
We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks.
Key Responsibilities -
- Assist in training and fine-tuning ML models for real-time AI-based tasks.
- Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes.
- Implement and test model architectures to improve accuracy, speed, and performance.
- Help analyze and optimize model performance based on results and metrics.
- Document research and findings, contributing to team knowledge and project reports.
- Participate in code reviews and contribute to software development best practices.
- Stay updated with the latest trends and research in computer vision and applied ML.
Qualifications -
- Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field.
- Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts.
- Hands-on experience with MLOps.
- Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD).
- Proficiency in programming languages such as Python
- Experience with OpenCV and Pytorch is a must.
- Experience with Statistical Analysis and modeling is a plus.
- Experience with CUDA and GPU acceleration is a plus.
- Experience with ROS and C++ is also a huge plus.
- Strong problem-solving skills, attention to detail, and a collaborative mindset.
Preferred Skills -
- Knowledge of data cleaning techniques and data preprocessing methods.
- Familiarity with version control systems like Git .
- Experience in deploying models into production environments (optional).
- Exposure to ROS and OpenCV in C++.