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5-7 Years
Not Disclosed

This job is no longer accepting applications

Job Description

About Company :

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.


  • Job Title : Data Scientist
  • Location: Chennai, Bangalore, Pune, Coimbatore
  • Experience: 5+ Years
  • Work Mode : Hybrid
  • Job Type : Contract to hire
  • Notice Period:- Immediate joiners.


Job Description:

Key Responsibilities

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

· Develop production-grade services using Python + FastAPI

· Deploy ML workloads on GCP (Cloud Run, BigQuery, GCS, Pub/Sub)

· 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

· GCP – ML pipelines and deployment services

· FastAPI

· CI/CD (Jenkins / GitHub Actions)

· API Development & API Management

· Solid OOPS fundamentals


Nice-to-Have

· Docker / Kubernetes

· Vector DBs (Pinecone / FAISS / Chroma)

· Terraform / IaC

More Info

Job Type:
Industry:
Employment Type:

Key Skills

GCP – ML pipelines and deployment services

GenAI LLM development

CI CD Jenkins GitHub Actions

API Development API Management

Solid OOPS fundamentals

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