Last updated 2026-07-05
30 Machine Learning & AI Jobs in Mumbai, 16, India
Browse 30 Machine Learning & AI jobs across Mumbai, 16, India. Listings are updated hourly and include salary data where available.
Market data for Machine Learning & AI jobs in Mumbai, 16, India
Professionals in this category design, develop, and optimize AI and machine learning systems to solve complex problems and enhance technological capabilities.
Companies with current Machine Learning & AI listings
| Company | Active jobs |
|---|---|
| Sia | 5 |
| General Mills | 4 |
| PGBPGNGLOBAL | 4 |
| EisnerAmper (India) Consultant Private Limited | 2 |
| MSCI Careers | 2 |
| Affinity Global Inc | 1 |
| BlackRock | 1 |
Machine Learning & AI jobs by schedule
| Schedule | Active jobs | Share |
|---|---|---|
| Full time | 30 | 100% |
Machine Learning & AI jobs by seniority
Common Machine Learning & AI job titles
| Title | Active jobs | Share |
|---|---|---|
| Data Scientist | 4 | 13% |
| Senior AI Engineer | 3 | 10% |
| AI Engineer | 1 | 3% |
| Architect | 1 | 3% |
| Artificial Intelligence Data Engineer | 1 | 3% |
FAQ
- How many Machine Learning & AI jobs are listed in Mumbai, 16, India?
- This page currently shows 30 Machine Learning & AI jobs in Mumbai, 16, India.
- Which companies are hiring for Machine Learning & AI roles in Mumbai, 16, India?
- Current listings include roles from Sia (5 jobs, 16%), General Mills (4 jobs, 13%), PGBPGNGLOBAL (4 jobs, 13%), EisnerAmper (India) Consultant Private Limited (2 jobs, 6%), and MSCI Careers (2 jobs, 6%).
- What seniority levels are common for Machine Learning & AI jobs in Mumbai, 16, India?
- The visible seniority mix includes Mid (16 jobs, 53%) and Senior (14 jobs, 47%).
- What work schedules are common for Machine Learning & AI jobs in Mumbai, 16, India?
- The visible schedule mix includes Full time (30 jobs, 100%).
- What Machine Learning & AI job titles are common in Mumbai, 16, India?
- Common titles include Data Scientist (4 jobs, 13%), Senior AI Engineer (3 jobs, 10%), AI Engineer (1 job, 3%), Architect (1 job, 3%), and Artificial Intelligence Data Engineer (1 job, 3%).
- What does this market snapshot include?
- Most visible listings are full-time (30 of 30). Mid-level roles account for 16 of 30 listings. 1 of 30 visible postings include structured pay data.
Related jobs
Snapshot updated 22m ago
MSCI
Jul 3- Your Key Responsibilities AI & Data Science Application Development Design, develop, and maintain data science and AI-driven applications t…
- Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.
MSCI Careers
Jul 3- Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.
- AI & Data Science Application Development Design, develop, and maintain data science and AI-driven applications that support multiple MSCI…
More roles at MSCI Careers
BlackRock
Jul 3- Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during prod…
- Leadership & Ownership Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialis…
PGBPGNGLOBAL
Jul 3- C ollaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering,…
- Responsibilities of the role We need someone who can: Algorithm Design & Development: Directly contribute to the design and development…
More roles at PGBPGNGLOBAL
Weekday AI
Jul 2- Solid understanding of MLOps, CI/CD for AI, monitoring Must-have skills Agentic AI, Multi-agent Systems, MCP servers Good-to-have skills CI…
- Requirements Key Responsibilities Design, build, and optimize Multi-agent Systems and Agentic AI architectures that deliver measurable busi…
Machine Learning Engineer - Senior II
- Lead cross-functional collaboration with Data Scientists, developers, and business teams to develop innovative machine learning models.
- Collaborate with development teams to test and deploy machine learning models in real-world applications.
Data & AI Presales Specilaist
- Expertise translating legacy data pipelines (SQL Server, Synapse, Databricks, or AWS/GCP equivalents) into a modernized Microsoft ecosystem.
- Collaborate with commercial sales teams to identify, nurture, and unblock high-growth, AI-led enterprise cloud opportunities across India.
Fractal Analytics Ltd.
Jun 30- Required Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, or related field 6–9 years of relevant experience in M…
- Job Description EL3 – Databricks MLOps Engineer (Contract) Domain: Claims Payment Integrity | M&R, C&S, E&I Claims (preferred) Actuarial &…
General Mills
Jun 24- Collaborates with Data Science Leads, ML System Engineering and Platform teams to ensure the models are deployed in a scaled…
- Play a lead role in spearheading the development effort of new standards (design patterns, coding practices, orchestration patterns) and dr…
More roles at General Mills
Architect - Machine Learning
- Fluent in communication Must have skills: 8+ years’ experience of Hands-on in model development, deployment and operationalization of proje…
- Role & Responsibilities: Developing high-level solution architectures and working with our offshore team of big-data engineers and decision…
KPMG India
Jun 17- Design and implement cloud solutions, build MLOps Pipeline on cloud (AWS, Azure, or GCP) and on-prem setup along with CI/CD…
- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or…
Sia
Jun 16- Key Responsibilities Team Leadership & Mentoring: Manage, coach, and grow a team of Software Engineers, ML & GenAI Engineers.
- EM - Product Traits (What Success Looks Like) Platform Ownership: Owns AI platform foundations (infra, tooling, pipelines) as long-lived pr…
More roles at Sia
Databricks
Jun 16- FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both…
- Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-ag…
Artificial Intelligence Manager
- Strong understanding of AI solution design principles and enterprise application integration.
- Working knowledge of AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
More roles at EisnerAmper (India) Consultant Private Limited
NMIMS Career Site
Jun 5- Job Purpose: The ML Engineer will support the Centre for Distance & Online Education (NCDOE) in designing, developing, implementing, and…
- The role will work closely with the Technology Team, Product Manager, and other business stakeholders to drive technology-enabled innovatio…
Affinity Global Inc
Jun 3- Required Skills: 3+ years of proven experience as a Data Scientist.
- Experience using Business Intelligence Tools and Distributed cloud data frameworks.
- About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who…
- Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Diebold Nixdorf
Apr 26- We are seeking an experienced AI/ML and GenAI Engineer to lead the design, development, and deployment of advanced machine learning…
- You will play a key role in architecting scalable AI systems, including LLM ‑ based and agentic workflows, mentoring junior…
Morgan Stanley
Apr 8- The role involves focusing on developing Machine Learning models and Gen AI use cases across WM Business lines.
- The team owns all the executive reporting, insights, and predictive modeling in support of Wealth Management business.