Senior Data Scientist

Enixza Technologies

Chennai District

Hybrid

INR 2,400,000 - 4,200,000

Full time

8 days ago

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Job summary

Enixza Technologies is seeking a Senior Data Scientist to join our hybrid team across Chennai, Bangalore, Pune, and Coimbatore. You will own end-to-end ML/GenAI solutions, from model development to deployment, APIs, and CI/CD, leveraging GCP/AWS/Azure.

You will work closely with Product, Data Engineering, and Infra teams to build scalable, production-grade services and maintain robust ML pipelines while applying strong OOPs design principles.

Qualifications

  • 7+ years of hands-on data science experience.
  • Strong Python expertise and production-grade ML workflows.
  • Experience with GenAI/LLMs and API-driven services.

Responsibilities

  • Build, train, and optimize ML/GenAI models (RAG, embeddings, LLMs).
  • Develop production-grade services using Python and FastAPI.
  • Deploy ML workloads on GCP/Azure/AWS and design scalable APIs.
  • Lead API integrations and cloud migration efforts for ML platforms.
  • Implement CI/CD for ML pipelines and microservices.
  • Apply OOPs principles for clean, modular design and collaborate with product/infra teams.

Skills

Python
GenAI/LLM development
FastAPI
CI/CD
API Development
OOPS fundamentals
Cloud platforms

Tools

Docker
Kubernetes
Terraform/IaC

Job description

Job Description Senior Data Scientist
Location

Chennai, Bangalore, Pune, Coimbatore (Hybrid)

Experience

7+ Years

About the Role

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/AWSbased 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
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