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Machine Learning Engineer | 3+ Years | Mumbai (Onsite)

Location: Ghansoli, Mumbai

Work Mode: Onsite | 5 days working

Notice Period: Immediate to 30 Days preferred

About the Role

We are hiring a Machine Learning Engineer with 3+ years of experience to build and deploy prediction, classification, and recommendation models. You’ll work on end-to-end ML pipelines and production-grade AI systems.

Must-Have Skills

• 3+ years of hands-on ML experience
• Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch)
• Experience with feature engineering, model training & evaluation
• Hands-on with Azure ML / Azure Storage / Azure Functions
• Knowledge of modern AI concepts (embeddings, transformers, LLMs)

Good to Have

• MLOps tools (MLflow, Docker, CI/CD)
• Time-series forecasting
• Model serving using FastAPI

Why Join Us?

• Work on real-world ML use cases
• Exposure to modern AI & LLM-based systems
• Collaborative engineering environment
• High ownership & learning opportunities

A senior technical candidate who has managed  AFS (Anti Fraud Solutions),Risk & Anti money laundering (AML) projects.

Experience: 15+ years of experience in BFSI domain.

Location: Mumbai

Note- Candidate should be from IT product companies only.

Key Skills: Hands on BFSI Domain experience, Strong leadership Qualities, Excellent communication and presentation skills

Roles & Responsibilities:

• Understand and maintain awareness of Global Regulatory guide lines, Risk management, and industry leading practices and use cases for AML, Anti-Fraud and Tax Reg.
• Responsible for AML and AFS product development & support and activities including roadmap planning and strategic direction.
• Enhancing our value proposition in the product demos and presentations to the clients.
• Proactively managing all aspects of the product life cycle including strategic planning, budget planning, product development, and marketing and communication strategy.
• Constantly enrich the software functionality and enhance its competitiveness working closely with Product Delivery Team.
• Should be able to speak in events on RegTech.