- 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
- Solid 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