AI/ML Engineer (Generative AI, ML,AWS)

Job DescriptionWe are seeking an experienced AI/ML Engineer with expertise in Generative AI, Machine Learning, and AWS Cloud to design, develop, deploy, and optimize AI-driven solutions. The ideal candidate should have hands-on experience in building scalable ML models, implementing GenAI use cases using LLMs, and deploying AI applications on AWS.
Roles & Responsibilities

Design/deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph

Develop, train, and productionize ML models (churn, recommendation, forecasting) with MLOps practices

Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails

Strong Python (Scikit-learn, TensorFlow, PyTorch); hands-on SageMaker; vector DBs (FAISS, Pinecone, OpenSearch)

Must-have: Python, LangGraph/LangChain, Bedrock/OpenAI integration | Nice-to-have: LLM fine-tuning, LangSmith/W&B, AWS ML Specialty
Technical RequirementStrong proficiency in Python and AI/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with Generative AI and Large Language Models (LLMs).
Experience with OpenAI, Claude, Gemini, Llama, or similar foundation models.
Strong understanding of Prompt Engineering, RAG, Embeddings, and Vector Databases.
Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
Hands-on experience with AWS Services such as:
SageMaker
Bedrock
Lambda
EC2
S3
Glue
API Gateway
CloudWatch
Strong SQL and data processing skills.
Experience with REST APIs and microservices architecture.
Knowledge of Git, CI/CD, and Agile methodologies.
Educational RequirementMCA,MSc,MTech,BTech
Preferred SkillsTechnology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-Data science->PYTHON
Service LineData & Analytics Unit