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

Job Description:

• We 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

Key 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 Requirements:

• Strong 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

Preferred Skills:

Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-Data science->PYTHON