Machine Learning Engineer - Amazon Web Services, Inc.
ML Engineer
Lead the design and deployment of generative AI models on AWS, driving impactful solutions across enterprise clients while ensuring compliance with stringent security requirements.
About the role
Key Responsibilities
Design, develop, and production‑grade deploy generative AI models using Python and AWS services (SageMaker, Lambda, Step Functions).
Collaborate with cross‑functional teams to translate business problems into scalable ML solutions.
Implement robust data pipelines, feature engineering, and model monitoring to ensure high performance and reliability.
Maintain and enhance existing ML workflows, incorporating best practices for security, compliance, and performance.
Document architecture, code, and operational procedures for internal and client-facing stakeholders.
Requirements
Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar).
Hands‑on experience building generative AI models (e.g., GPT, diffusion models) and deploying them at scale on AWS.
Deep understanding of AWS ML services (SageMaker, Rekognition, Comprehend) and related infrastructure.
Excellent problem‑solving skills and ability to work in a fast‑paced, client‑facing environment.
U.S. citizenship and current TS/SCI clearance (or ability to obtain).