Senior AI/ML Engineer

Job Description:

Senior AWS AI/ML Engineer with expertise in AWS Bedrock, SageMaker, Generative AI, and Machine Learning to design, develop, and deploy enterprise AI solutions. The ideal candidate should have strong AWS cloud experience, hands-on knowledge of LLMs, RAG architectures, AI agents, and Python-based application development.

Required Skills

AWS & Cloud

•            AWS Bedrock, SageMaker, IAM, Lambda, API Gateway, S3, CloudWatch, DynamoDB, RDS

•            Infrastructure as Code using CloudFormation or Terraform

•            ECS/EKS experience is a plus

Generative AI

•            Prompt Engineering, Bedrock Agents, Knowledge Bases, Guardrails

•            Experience with Foundation Models (Claude, Llama, Nova, Mistral, Cohere)

•            RAG, Embeddings, Semantic Search, AI Agents, MCP, Function Calling

Programming

•            Strong Python programming (required)

•            C#/.NET, REST APIs, JSON, SQL

AI & ML Frameworks

•            LangChain, LangGraph, LlamaIndex

•            TensorFlow, PyTorch, Scikit-learn, XGBoost

Data & Databases

•            Pandas, NumPy, ETL pipelines

•            SQL Server, PostgreSQL, DynamoDB

•            Vector Databases (Pinecone, OpenSearch, FAISS, ChromaDB)

DevOps

•            Git, GitHub, Docker, CI/CD

•            Kubernetes (preferred)

Preferred Qualifications

•            Experience building and deploying production-grade AI/ML solutions on AWS.

•            Strong understanding of cloud architecture, system design, and MLOps best practices.

•            Excellent problem-solving, communication, documentation, and Agile/Scrum experience.