We’re 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, embedding, 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 Requirements • 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