Data Science Engineer - Generative AI

Job Details:

Employment Type: Permanent Payroll of the hiring organization

Client: A Leading IT Services Company

Experience Required: 10 to 18 Years

Job Location: PAN India

Role Overview:

We are seeking experienced professionals to design, develop, and lead enterprise-scale Generative AI and Data Engineering solutions. The role involves architecting end-to-end AI platforms, building scalable data pipelines, and driving innovation across LLMs, Agentic AI, RAG frameworks, and Azure Databricks environments.

Responsibilities:

- Build scalable data pipelines using Python, SQL, PySpark, and Databricks.

- Architect enterprise-scale Generative AI solutions with LLMs, Agentic AI, and RAG.

- Design multi-agent systems (LangChain, LangGraph, Semantic Kernel, AutoGen).

- Implement MLOps/LLMOps pipelines, CI/CD, and observability frameworks.

- Collaborate with stakeholders to align AI platforms with business needs.

- Ensure Responsible AI compliance, security, and governance.

Mandatory Skills:

- Python (Data Science, AI/ML)

- Generative AI / Agentic AI (LLMs, RAG, Prompt Engineering, Fine-tuning)

- Azure Databricks, SQL, JSON

- Azure AI Studio, Azure OpenAI Service

- MLOps / LLMOps

Preferred Skills:

- GitHub Copilot, Docker, Kubernetes, REST APIs

- Vector Databases, Knowledge Graph, Hybrid RAG