Design and implement machine learning and generative AI solutions for enterprise banking applications. Lead integration of LLMs with Azure OpenAI and enterprise datasets using agentic frameworks. Architect data pipelines and ensure scalable deployment of ML models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Senior Machine Learning/GenAI Architect
EST Area (Candidate should be willing to relocate, 5 days onsite)
Requirements:
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- A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
- Strong knowledge data architecture in banking domain.
- 4+ Years Work Experience in Python, Mongo
- Strong hands-on experience with Microsoft Azure
- Integrate LLMs with enterprise datasets using Azure Open AI.
- Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
- ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
- GenAI: Knowledge in LLM Models, Langchain , Hugingface
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- Good written and verbal communication skills
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