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Senior Data Scientist

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Description

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

Skills

What Senior Data Science jobs ask for — and how much of it you have →
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See also

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