Goregaon Mumbai Maharashtra Ai/ml engineer Jobs – 309 Open Jobs Today

AI Engineer
Morningstar —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Master's degree
- Databases
- SQL
AI/ML Engineer
Nimap Infotech —Kurla, Mumbai, Maharashtra
- ₹12,00,000 a month
- Full-time
- Master's degree
- Databases
- APIs
Quick apply
AI Engineer (Energy)
John Cockerill —Mumbai, Maharashtra
- Azure
- Computer Science
- Engineering
- Work from home
AI Automation Engineer
PCPL —Kandivali East, Mumbai, Maharashtra
- Azure
- Master's degree
- Databases
Quick apply
AI/ML Engineer
Shriya Innovative Solutions —Malad, Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
GenAI Engineer
Aptech Limited —Mumbai, Maharashtra
- Computer Science
- Bachelor's degree
- Machine learning
Backend Software Engineer
PinnacleU —Mumbai, Maharashtra
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- Java
- SQL
- JavaScript
Quick apply
Applied AI engineer
SiftHub —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Research Engineer — Agent Architectures (Coding & Autonomous Systems)
AryaXAI —Mumbai, Maharashtra
- Full-time
- Remote
- Doctoral degree
- System design
- Research
Quick apply
Data Analyst – ML Engineer
ETP Group —Mumbai, Maharashtra
- Full-time
- Master's degree
- SQL
- Machine learning
- Health insurance
Associate Solution/ML Engineer
Pristine Infotech —Mumbai, Maharashtra
- Email
- Azure
- Oracle
- Computer Science
- Paid holidays
- Health insurance
Research Engineer, Portfolio Management Group, Associate
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Computer Science
- B.Sc
- Research
- Work from home
SW Applications Engineer
Applied Materials —Mumbai, Maharashtra
- Full-time
- Computer Science
- Up to 50% travel
- Software troubleshooting
- Work from home
13d
Data Engineer - Palantir - Mumbai
Burns & McDonnell —Mumbai, Maharashtra
- Oracle
- Databases
- Analysis skills
- Work from home
Senior Machine Learning Engineer
Siemens —Mumbai, Maharashtra
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
AI Engineer
Team Computers Pvt Ltd —Mumbai, Maharashtra
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Paid sick time
Quick apply
Software Engineer
Nomura —Mumbai, Maharashtra
- Databases
- Agile
- AI
12d
Forward Deployed Engineer - AI
Kyndryl —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- AWS
Software Engineer - AI Labs
Seclore —Mumbai, Maharashtra
- Computer Science
- Master's degree
- Databases
Java Application Engineer, Aladdin Wealth Technology, Associate
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Java
- JavaScript
- APIs
- Work from home

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AI Engineer

Morningstar -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Law
MCP
NumPy
Git
Master's degree
Databases
SQL
Pandas
OS Kernels
AWS
Bachelor's degree
Machine learning
Continuous integration
Martech
AI
Python
Marketing
Analytics

Full job description

Role: AI Engineer

Location: Vashi, Navi Mumbai (4 days working from office)

About the Role

We’re looking for a Marketing AI / Machine Learning Engineer to join the Analytics Engineering team within Marketing Intelligence and Operations (MIOps). This role focuses on building and operationalizing AI-driven systems that improve marketing measurement, automate workflows, and scale insight generation. You will work across the full lifecycle of AI solutions, partnering with Marketing, Analytics, and Engineering to turn business problems into scalable, production-ready systems. These solutions may include machine learning models, generative AI workflows, and agent-based automation.

Role Scope & Impact

Build and scale AI-driven systems that support marketing measurement, experimentation, and decision-making

Develop automation and agent-based workflows that reduce manual analysis and operational overhead

Ensure outputs are interpretable, reliable, and aligned to business context

Contribute to a modern marketing intelligence ecosystem combining ML, GenAI, and analytics engineering This role is not about owning a single model or tool. It is about helping Marketing move faster and smarter by embedding AI into how work actually gets done.

Responsibilities

Design, develop, and deploy machine learning and generative AI solutions for marketing use cases

Build and maintain scalable data and model pipelines across the ML lifecycle (data prep, modeling, evaluation, deployment, monitoring)

Develop GenAI capabilities including prompt workflows, embeddings, and retrieval augmented generation (RAG) patterns

Contribute to AI agents and automation workflows that streamline marketing analysis and operations

Partner with Marketing and Analytics teams to translate business needs into technical solutions

Perform data preparation, feature engineering, and validation across marketing and enterprise data sources

Integrate AI outputs into dashboards, tools, and downstream workflows

Document systems, models, and outputs to ensure transparency and usability

Requirements

Bachelor’s degree required; Master’s preferred in a quantitative field

1–3 years of experience in AI, agentic workflows, analytics engineering, or software engineering

Has taken at least one project (professional or personal) through to a working, deployed state, including basic CI/CD or automated testing, not just prototyping or notebooks

Has built and maintained some form of evaluation or monitoring for a model or LLM output (accuracy tracking, logging, human review loop), even at small scale

Has experience designing tool-calling or agent orchestration logic, e.g. LLM agents, workflow automation, or MCP-style integrations

Proficiency in Python and SQL for data and model development

Familiarity with GenAI concepts (prompting, embeddings, vector search, evaluation)

Ability to work cross-functionally and communicate technical concepts clearly

Nice to Have

GenAI / LLMs

o Experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)

o Experience with RAG systems and vector databases

o Familiarity with no-code automation platforms (n8n, Microsoft Copilot Studio) • Domain / Tools o Experience with marketing tech or analytics (CRM, paid media, web analytics)

o Exposure to modern data platforms (Snowflake, Databricks, BigQuery) and version control (Git)

o Experience with standard ML/data libraries (Pandas, NumPy, Scikit-learn)

o Experience with cloud infrastructure in AWS, incl. Lambda, Bedrock, Load Balancers

Morningstar is an equal opportunity employer

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Apply Now

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ai/ml engineer jobs in goregaon mumbai maharashtra

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