Job Title: AI/ML Engineer (Python, AWS, GenAI)
Location: Reston, VA (In-person interviews required)
Candidate Requirement: Local to East Coast only
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Job Description
Client is seeking an AI/ML Engineer to design and deliver end-to-end AI/ML and Generative AI solutions in a cloud-native AWS environment. The ideal candidate will have strong Python engineering skills, experience deploying ML/GenAI workloads on AWS, and hands-on expertise building RAG pipelines and MLOps workflows.
Responsibilities
Design and implement end-to-end AI/ML and Generative AI solutions using Python, including training, evaluation, optimization, and deployment.
Build and maintain cloud-native applications on AWS using Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
Develop scalable, high-performance Python microservices using FastAPI/Flask for data pipelines, real-time analytics, and model inference.
Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered solutions (chatbots, summarization, semantic search, anomaly detection).
Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform/CloudFormation.
Build and support MLOps workflows: model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
Required Skills
Strong hands-on experience in Python development for AI/ML and GenAI solutions.
Proven experience working with AWS services for application and ML deployments.
Experience building APIs/microservices using FastAPI or Flask.
Hands-on experience with RAG, embeddings, and vector databases.
Experience with CI/CD and IaC (Terraform/CloudFormation).
Strong understanding of MLOps practices and production model monitoring.
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