Job Title: AI/ML Engineer (Python AWS GenAI)
Location: Reston VA (In-person interviews required)
Candidate Requirement: Local to East Coast only
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
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Design and implement end-to-end AI/ML and Generative AI solutions using Python including training evaluation optimization and deployment.
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Build and maintain cloud-native applications on AWS using Lambda ECS/Fargate S3 API Gateway DynamoDB RDS/Aurora SageMaker and Bedrock.
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Develop scalable high-performance Python microservices using FastAPI/Flask for data pipelines real-time analytics and model inference.
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Architect and operationalize RAG pipelines embeddings vector databases and LLM-powered solutions (chatbots summarization semantic search anomaly detection).
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Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform/CloudFormation.
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Build and support MLOps workflows: model versioning containerized training/inference automated retraining monitoring and performance tuning.
Required Skills
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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.
Job Title: AI/ML Engineer (Python AWS GenAI) Location: Reston VA (In-person interviews required) Candidate Requirement: Local to East Coast only 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. ...
Job Title: AI/ML Engineer (Python AWS GenAI)
Location: Reston VA (In-person interviews required)
Candidate Requirement: Local to East Coast only
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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