onsite
Machine Learning Engineer, Data & Machine Learning DML - Amazon Web Services, Inc.
ML Engineer
Senior Machine Learning Engineer focused on developing and deploying Generative AI solutions on AWS, leveraging deep learning, data engineering, and cloud services to solve high-impact business problems.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy generative AI models using Python and deep learning frameworks on AWS infrastructure.
- Collaborate with cross‑functional teams to translate business requirements into scalable ML solutions and data pipelines.
- Optimize model performance, monitor drift, and implement continuous improvement cycles in a cloud‑native environment.
- Integrate ML outputs into enterprise applications, ensuring security, compliance, and high availability.
- Document best practices, model artifacts, and deployment procedures for internal and external stakeholders.
Requirements
- Bachelor’s or higher in Computer Science, Engineering, or related field with 5+ years of ML engineering experience.
- Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and AWS services (SageMaker, Lambda, S3).
- Hands‑on experience with generative models (e.g., GPT, diffusion) and data engineering pipelines.
- Strong problem‑solving skills, ability to work independently and in a fast‑paced environment.
- Active Top Secret security clearance or ability to obtain one within 90 days.
Skills
pythonmachine learninggenerative aiawsdeep learning