21,359 Machine Learning Algorithms jobs in India
Machine Learning Engineer/ Senior Machine Learning Engineer
Posted today
Job Viewed
Job Description
Who We are:
We are a team of Ecommerce enthusiasts, passionate about using technology to simplify Digital Commerce and Payments for brands across the globe. Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal, Alexa and Walmart.
For more details, please visit &
Job Position : AI/ML Engineering
Job Location: Gurgaon (Work From Office)
Job Summary
We're looking for a passionate and hands-on Machine Learning Engineer to join our fast-paced E-commerce team. You'll work on cutting-edge projects involving Large Language Models (LLMs), full MLOps lifecycle, and scalable deployment of AI solutions.
Key Responsibilities
Design, build, and deploy end-to-end machine learning solutions for production.
Fine-tune and integrate Large Language Models (LLMs), including experience with RAG, APIs from OpenAI, Google, Anthropic, etc.
Implement and manage robust MLOps workflows using tools like Docker, CI/CD pipelines, and cloud ML services such as SageMaker or Vertex AI.
Work with structured and unstructured data, leveraging both SQL and NoSQL databases.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Continuously explore and experiment with new models (e.g., Llama 3, Mistral, open-source LLMs) and frameworks as soon as they're released.
Essential Skills:Programming: Expert in Python with strong experience in Pandas, NumPy, and data processing.
ML Frameworks: Deep hands-on experience with PyTorch, TensorFlow, and Scikit-learn.
LLMs: Proven experience with fine-tuning, RAG, and working with LLM APIs from providers like OpenAI, Google, and Anthropic.
MLOps & Cloud: Solid experience across the MLOps lifecycle with tools like Docker and CI/CD pipelines. Proficiency in at least one major cloud platform (AWS, GCP, or Azure) and their ML services.
Data Handling: Proficient in working with SQL/NoSQL databases and scalable data storage systems.
Tech Curiosity: Actively stays up to date with the latest in ML/AI – whether that's testing new LLMs, trying out novel frameworks, or exploring new techniques.
Desirable Traits:Product Thinking: You think beyond models—you focus on building products that deliver value.
Problem Solving: Comfortable navigating ambiguous challenges and developing practical solutions.
Communication: Able to explain technical concepts clearly to both technical and non-technical stakeholders.
Team Collaboration: Thrive in agile environments, enjoy knowledge sharing, and work well with diverse teams.
What we expect from you?
You have the ability to work in a fast-paced environment adapting to changing priorities
You are focused and detail oriented but know when to seek help from others
You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences
You possess superior troubleshooting and analytical skills to determine the root cause of issues
You strive to identify areas of improvement and work proactively to prevent issues from occurring
You are a self-starter with an appreciation for tackling technical challenges of varying complexity
You are diligent when making decisions and can easily justify your actions.
Why Join us?
You hate micromanagement and freedom to work is important to you
Enjoy flexible and relaxed work environment
Work life Balance is important to you
Enjoy Motivating Working Conditions
A friendly, Supportive, Professional and achievement-oriented management team
Competitive remuneration
An opportunity to learn new things every day and work on latest technologies
Machine Learning Engineer
Posted 3 days ago
Job Viewed
Job Description
**What you get to do in this role:**
+ Contribute to the design, development, and evaluation of machine learning solutions, with exposure to large language models (LLMs) and modern AI techniques.
+ Support the development of prototypes and proof-of-concepts that demonstrate new AI capabilities and improve model performance.
+ Run experiments to assess model accuracy, generalization, and fairness across different datasets and tasks.
+ Help generate, clean, and curate datasets (synthetic and real-world) to improve training and evaluation pipelines.
+ Fine-tune and evaluate pre-trained models, applying techniques such as prompt engineering and retrieval augmentation under guidance from senior engineers.
+ Work closely with cross-functional teams (research, engineering, product) to deliver production-quality ML features.
+ Implement and follow established evaluation protocols, including testing for bias, robustness, and safety.
+ Develop and maintain training and deployment pipelines using containerized workflows and modern MLOps practices.
+ Contribute to responsible AI practices by applying transparency and compliance guidelines in day-to-day work.
**Key qualifications:**
+ Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
+ Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
+ **2+ years of experience in machine learning, deep learning, or data science.**
+ Proficiency in Python and JavaScript, with familiarity in ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
+ Experience with training and evaluating machine learning models; exposure to LLMs or foundation models is a plus.
+ Hands-on experience with dataset preparation, labelling, or data processing workflows.
+ Understanding of ML evaluation strategies, model optimization techniques, and awareness of responsible AI practices.
+ Familiarity with deploying ML models using inference platforms (e.g., ONNX, Triton) or cloud services.
+ Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, CI/CD) for experiment tracking and deployment.
+ Strong communication skills with the ability to collaborate effectively with technical peers and share results clearly.
+ Knowledge of ServiceNow platform development and its integration with AI/ML solutions.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Machine Learning Engineer
Posted 10 days ago
Job Viewed
Job Description
**Team Overview:**
Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.
**What you get to do in this role:**
+ Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
+ Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
+ Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
+ Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
+ Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
+ Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
+ Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
+ Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
+ Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.
**Key qualifications:**
1. Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
2. Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
3. **2+ years of experience in machine learning, deep learning, LLM, with a track record of applied research or experimentation.**
4. Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
5. Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
6. Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
7. Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
8. Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
9. Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
10. Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
11. Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Machine Learning Engineer
Posted 10 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 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 10 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
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 1 day 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.
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Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.
Key Responsibilities:
- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate and analyse the performance of ML/generative AI models.
- Stay up to date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
Machine Learning Engineer
Posted 1 day 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, Linde's 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
Linde’s 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 Linde's 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
Why You Will Love Working With Us
At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver
impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters
creativity, and welcomes diverse perspectives, making Linde an employer of choice.
We act responsibly towards our shareholders, business partners, employees, society, and the
environment. Linde is committed to technologies and products that combine customer value with
sustainable development.
What We Offer You
In addition to an attractive compensation package, we offer flexible working hours and various
benefits to support your professional and personal development. Our culture values work-life
balance, helping you to combine career ambitions with family commitments.
Have We Inspired You?
We look forward to receiving your application.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
About KeyValue
KeyValue is a product development start-up, building highly scalable web and enterprise class software with a team of engineers specialized in Core Product Development.
We have the single-most vision of being the best product development start-up from India and to reach it, we have a single strategy: That of creating the Best of all Talent Pools and the Best of all Work Environments ever possible!
In our belief, every man is truly the owner of his/her work, his craft and can do the best when each sailor sailing on our ship can see the horizon that we all are sailing towards. For us, the best talents are the open-minded, ever-learning and all-embracing ones. We create, live and code on the cloud.
We are looking for a talented and motivated Machine Learning Engineer to join our growing team. In this role, you will play a key part in designing, developing, and deploying machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to bring innovative solutions to life.
What you will do:
- Design, develop, and deploy machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing)
- Collaborate with data scientists to understand business requirements, translate them into technical specifications, and select appropriate algorithms
- Prepare and clean data for training and evaluation of machine learning models
- Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability
- Monitor and maintain deployed models in production, and identify opportunities for improvement
- Stay up-to-date on the latest advancements in machine learning research and best practices
- Communicate effectively with technical and non-technical audiences to explain complex concepts
What makes you a great fit ?
- 3-7 years of experience in machine learning engineering
- Proven experience in building and deploying machine learning models
- Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
- Proficiency in Python
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong understanding of machine learning algorithms and techniques, as well as LLM architecture and functionalities.
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
Bonus points:
- Experience with cloud platforms (e.g., AWS, GCP, Azure)
- Experience with MLOps tools and methodologies
- Open-source contributions
If you get to join us, what you get in the process would be invaluable opportunities to solve global problems with your talents and work with some of the most experienced software architects in the Indian IT industry and get mentored by them.