AI/ML Engineer (Contract - W2 Only)

Position Overview:
o We are seeking an AI/ML Engineer to design, build, and deploy production-grade, cloud-native AI systems.
o This role focuses on developing GenAI-powered applications, retrieval-augmented systems (RAG), and data-driven automation using AWS.
o You ll work in a collaborative, agile environment delivering scalable and secure AI solutions.

Key Responsibilities:
o Design and implement end-to-end AI/ML systems using GenAI, traditional ML, and narrow AI models
o Build and deploy RAG, multi-agent, and protocol-based AI systems
o Integrate AI models into production applications using AWS Lambda, ECS/Fargate
o Develop and maintain data pipelines for training, inference, monitoring, and evaluation
o Architect scalable AI workloads using AWS SageMaker, Bedrock, API Gateway, EventBridge
o Build microservices, APIs, and automated CI/CD pipelines
o Apply best practices for containerization, observability, security, and compliance
o Collaborate with cross-functional teams in an agile development environment

Required Qualifications:
o 3+ years experience deploying AI/ML applications in production
o Strong Python development experience
o 2+ years hands-on experience with AWS cloud architectures
o Experience with GenAI and traditional ML models
o At least one AWS Associate-level certification 
Technical Skills:
o Languages: Python (required)
o AI/ML Frameworks: PyTorch, TensorFlow, LangChain, LlamaIndex (or similar)
o AWS: SageMaker, Bedrock, Lambda, ECS/Fargate, API Gateway, S3, Glue, Step Functions, IAM
o DevOps: Docker, Git, CI/CD (GitHub Actions or AWS CodePipeline)
o Data: SQL/NoSQL, vector databases, AWS-native data services
o IaC: AWS CloudFormation

Preferred Qualifications:
o Bachelor s degree in Computer Science, AI/ML, or related field (Master s preferred)
o AWS Solutions Architect or Developer certification (Professional-level a plus)
o Strong understanding of production-quality AI system design
o Experience working in agile, collaborative teams