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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 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
Job ID: 144827903
Skills:
Hadoop, Pyspark, Hive, Databricks, Python, LangChain, GenAI, Google Gemini, data visualization tools, Azure AI Foundry, vector indexes, AI models and algorithms, R, LlamaIndex
Skills:
Machine Learning, SAS, Matlab, Sql, Python, GenAI, R, Statistical Modeling, Data Analysis, Llm
Skills:
Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, scikit-learn, MLlib, GenAI techniques
Skills:
Data Analytics, Python, Sql, model evaluation, LLMs, prompt engineering
Skills:
Aws Lambda, Machine Learning, SAS, Sql, Amazon Redshift, Matlab, Python, Data Analysis, Amazon QuickSight, Amazon SageMaker, R, Statistical Modeling