Were looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs), solid GenAI and LLM experience, and the ability to work end-to-end on GCP/Azure/AWS based ML solutions including deployment, APIs, and CI/CD.

Key Responsibilities:

- Build, train, and optimize ML and GenAI models (RAG, embeddings, LLM integrations)

- Develop production-grade services using Python + FastAPI

- Deploy ML workloads on GCP/Azure/AWS

- Design scalable APIs and lead API integrations

- Contribute to Cloud Migration and ML platform modernization

- Implement CI/CD for ML pipelines and microservices

- Apply OOPS principles for clean, modular design

- Work collaboratively with Product, Data Engineering, and Infra teams

Must-Have Skills:

- Strong hands-on Python

- GenAI / LLM development

- FastAPI

- CI/CD (Jenkins / GitHub Actions)

- API Development & API Management

- Solid OOPS fundamentals

- GCP/Azure/AWS

Nice-to-Have:

- Docker / Kubernetes

- Vector DBs (Pinecone / FAISS / Chroma)

- Terraform / IaC