28,807 Machine Learning Engineering jobs in India

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e help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

L- ead and inspire a high-performing engineering team delivering backend systems, APIs, databases, and LLM infrastructure.
D- efine and communicate the technical vision, ensuring alignment with product and business goals.
G- uide the design, development, and deployment of scalable AI infrastructure and distributed systems.
C- ollaborate closely with product managers, researchers, and architects to translate ideas into impactful, production-grade solutions.
F- oster a culture of innovation, technical excellence, and continuous improvement.
P- rovide hands-on technical guidance where required, ensuring robust architecture and high-quality code.
D- rive mentoring, career development, and recruitment to strengthen team capabilities.
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B- achelor's degree in Computer Science, Mathematics, Physics, or related field (advanced degree preferred).
1- 0+ years of software engineering experience, with at least 5 years in engineering leadership roles.
P- roven success in delivering complex distributed systems at scale.
S- trong understanding of AI/ML and large language model (LLM) systems in real-world applications.
E- xperience leading teams in fast-paced, high-growth environments.
A- bility to balance deep technical problem-solving with strategic business priorities.
E- xcellent English communication skills and ability to lead in global, multicultural teams.
P

referred:

E- xperience scaling engineering teams and processes in enterprise environments.
C- ontributions to open-source or engagement in the AI/ML community.
F- amiliarity with modern development practices, CI/CD, and cloud-native architectures.
M

You'll be joining SAP's AI engineering group—a collaborative and mission-driven team at the forefront of building distributed systems and AI infrastructure at scale. We partner closely with product managers, researchers, and architects to deliver innovative solutions that power SAP's next-generation AI and LLM capabilities.

As a leader in this team, you'll play a central role in shaping SAP's AI strategy, mentoring world-class engineers, and driving projects that have a global impact. Our culture is built on trust, autonomy, and a shared commitment to innovation and excellence

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
P

lease note that any violation of these guidelines may result in disqualification from the hiring process.

Job Description
Reporting to the General Manager - Data Science, the Machine Learning Engineering Manager will be a key part of the Data Science Management Team, leading the productionising of advanced analytics and Machine Learning initiatives. In this exciting new role, you will be expected to collaborate with technical and data teams, building out platform capability and processes to serve our Data Science and analytics community.

Roles & Responsibilities

What will you do in the role?
Responsibilities
With strong experience in managing technical teams and Machine Learning development lifecycles, you will be responsible for the day to day management of the Machine Learning Engineering team, ensuring they are delivering high quality solutions. You will also:

• Coach and develop the MLE team to leverage cutting edge Data Science, Machine Learning & AI technology.
• Maintain, evolve and develop our platforms to ensure that we have robust, scalable environments for the Data Scientists
• Provide technical guidance, support and mentorship to team members, helping them grow in their roles.
• Stay current with industry trends and advancements in AI and ML to support the company's data strategy.
• Establish and enforce best practice for ML & AI model deployment and monitoring.

What are the key skills / experience you'll already have?
You Will Be Highly Numerate With a Strong Technical Background With a Proven Ability To Maintain Hands On Technical Contribution Whilst Managing a Team. You Will Have

• Experience of training, evaluating, deploying and maintaining Machine Learning models
• Sound understanding of data warehousing and ETL tools
• Strong technical skills in following key tools & technologies
• Python and PySpark for data processing
• Familiarity with Snowflake, RDBMS or other databases
• Experience of working with Cloud infrastructure
• Experience of building infrastructure as code using technologies such as Terraform
• Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch
• Strong drive to master new tools, platforms, and technologies.
• Methodical approach with good attention to detail
• Effective communication skills – Ability to work with international teams and across cultures.

Description

Your day to day

Essential Responsibilities:

People Management Roles:

What do you need to bring-

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Description

Your day to day

Essential Responsibilities:

People Management Roles:

What do you need to bring-

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Description

Your day to day

Essential Responsibilities:

People Management Roles:

What do you need to bring-

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Our Company

At Claw LegalTech , we build AI tools that simplify complex legal and business workflows. Our mission is to make advanced technology accessible through intuitive, scalable, and intelligent products. From automating document drafting to building AI-powered legal assistants, we’re transforming how professionals interact with information.

Company: Claw LegalTech

Type: Internship

Stipend: ₹5,000/month

Location: Remote (India)

Duration: 3–6 Months

Role Overview

We are looking for an AI Engineer Intern who is passionate about applying AI, data engineering, and automation techniques to solve real-world problems. You’ll work closely with our engineering team to build, optimize, and deploy AI components involving data pipelines, API integration, web automation, and intelligent search systems.

This internship is a great opportunity to gain practical experience in the application side of machine learning, natural language processing, and backend development within a live AI product environment.

Responsibilities

• Build and integrate APIs and data pipelines for AI-driven products.
• Work with Python libraries to automate web data extraction and preprocessing.
• Implement and test AI retrieval and search modules using open-source tools.
• Optimize database queries and improve response time for large-scale data systems.
• Support model evaluation, text-based analytics, and data validation workflows.
• Collaborate with AI developers to enhance automation and knowledge-retrieval features.

Qualifications

• Strong programming skills in Python .
• Understanding of API development , SQL optimization , or data processing .
• Familiarity with at least one of:
• Machine Learning or NLP fundamentals
• Web automation (Selenium, Playwright)
• Search or vector-based data systems
• Good analytical and problem-solving abilities.
• Students or recent graduates in Computer Science, Data Science, or AI-related fields are encouraged to apply.

Perks & Benefits

• Internship Certificate and Letter of Recommendation upon completion.
• Opportunity to work on live AI automation projects .
• Mentorship from experienced engineers and AI developers.
• Remote, flexible work environment.
• Potential for full-time employment based on performance.

Job title: Data Science Intern- Remote

Report to: Data Science Manager in Pune

Job Responsibilities

• Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems
• Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches.
• In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets
• Communicate highly technical results and methods concisely and clearly
• Collaborate with researchers in Japan to understand requirement as well request data.

Requirement

• Master/Ph.D. in relevant field from tier-1 colleges
• 1~2 years of experience with programming language/s Python or C++, Pandas
• 1~2 years of experience of working with deep learning framework, i.E. Pytorch or Tensorflow
• Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc.
• Demonstrated experience with machine learning/deep learning models.
• Candidates should be able to read and implement research papers from top conferences.
• Develop IP (patents) and publish papers.
• Proficiency in Windows, Linux, dockers, PPT, and Git commands are highly required.

Preferred Skills

• Experience working with time-series, text, and sequential datasets in real world settings.
• Proven track record of research or industry experience on Time series problems, NLP, tabular datasets.
• Well acquainted with machine learning libraries such as pandas, scikit-learn etc.
• Experience programming in Azure or GCP or other cloud service.
• Publications in top-tier conferences will be a plus.

Location

This is a remote internship. If your performance is strong, we will consider converting your role to a full-time position after six months.

Unlox is an AI-driven learning and career platform shaping the future of how students learn and work. Recognized by NASSCOM and trusted by universities across India, Unlox is building scalable AI systems that power personalized learning, career readiness, and real-world problem solving.

We are hiring LLM Developer Interns who are passionate about Artificial Intelligence and eager to get hands-on experience in training and fine-tuning Large Language Models (LLMs). This internship will give you a unique opportunity to learn directly by doing — working with datasets, transformers, and cutting-edge open-source AI frameworks.

What You’ll Do

Support the AI team in curating and preprocessing domain-specific datasets.

Assist in training, fine-tuning, and evaluating LLMs using frameworks like Hugging Face and PyTorch.

Experiment with parameter-efficient tuning methods (LoRA, QLoRA).

Run evaluations and benchmarks to test model performance.

Document learnings and contribute to internal knowledge sharing.

What We’re Looking For

Strong fundamentals in Python and Machine Learning.

Familiarity with deep learning, NLP concepts, and transformer models.

Eagerness to explore LLM training workflows and hands-on model building.

Bonus: Exposure to Hugging Face, Kaggle projects, or open-source contributions.

What You’ll Gain at Unlox

What You Will Gain

Real-world experience working on cutting-edge AI projects.

Mentorship from experienced AI developers and researchers.

A collaborative, fast-moving environment where your contributions matter.

Stipend- 2000 for 4 months + potential pathway to a full-time role at Unlox.

We’re looking for an experienced Senior AI Engineer to join our leadership team and take ownership of building and scaling intelligent systems for document understanding, information retrieval, and large-scale text analysis. This role will combine hands-on coding with technical leadership , guiding a team of engineers in developing production-grade ML pipelines and scalable web applications.

As a Technical Lead, you will be responsible for architecting solutions, mentoring team members, ensuring code quality, and driving the integration of AI/ML models into robust backend systems. You will also bring in DevOps best practices to manage deployment, scalability, and performance of our systems.

Key Responsibilities:

• Lead the design and development of ML-driven systems for document understanding, NLP, and information retrieval.
• Architect and implement scalable backend services in Python and Django , integrating AI/ML pipelines with web applications.
• Drive the entire ML lifecycle — data acquisition, preprocessing, experimentation, deployment, monitoring, and optimization.
• Set up and maintain DevOps pipelines for CI/CD, model deployment, containerization (Docker/Kubernetes), and cloud infrastructure.
• Mentor and manage a team of ML and software engineers, conducting code reviews, sharing best practices, and ensuring project delivery.
• Collaborate with product and business teams to translate requirements into technical solutions.
• Ensure scalability, security, and performance of deployed systems across millions of documents and users.
  

Required Skills:

• Strong coding expertise in Python and frameworks like Django/FastAPI/Flask .
• Proven experience designing, deploying, and scaling ML models in production.
• Solid foundation in NLP and computer vision , with experience in embeddings, search/retrieval systems, and deep learning architectures.
• Hands-on experience with DevOps : CI/CD pipelines, Docker, Kubernetes, and cloud platforms (GCP/AWS/Azure).
• Strong understanding of relational and NoSQL databases;
  exposure to vector databases (e.G., FAISS, Milvus) preferred.
• Familiarity with distributed systems and handling large datasets efficiently.
• Excellent problem-solving skills, system design thinking, and ability to balance technical trade-offs.
• Strong communication and leadership skills to mentor and guide a technical team.
  

Preferred Skills (Good to have):

• Prior experience with document layout analysis or multi-modal ML models (vision + text).
• Experience with libraries like LayoutParser, Detectron2, MMDetection, or LayoutLM.
• Working knowledge of search and ranking models , semantic search, or vector search.
• Experience in microservices architecture and API design.
• Familiarity with MLOps frameworks and model monitoring tools.
• Contributions to open-source projects or research publications in ML/AI.

Who Should Apply?

This role is ideal for an experienced engineer who enjoys being hands-on while also leading teams, shaping architecture, and delivering real-world AI solutions at scale. If you have a strong foundation in machine learning and backend systems, and want to play a pivotal role in scaling AI-driven platforms, we’d love to talk to you.