Responsibilities

AWS Cloud Computing

Design and implement ML pipelines using AWS SageMaker, including data preprocessing, model training, tuning, and deployment.

Develop and integrate Generative AI applications using AWS Bedrock and foundation models (e.g., Titan, Claude, Llama).

Build APIs and microservices to expose ML models for consumption by applications.

Optimize ML workflows for cost efficiency and scalability in AWS environments.

Collaborate with data scientists and business stakeholders to translate requirements into technical solutions.

Implement security best practices for ML models and data in AWS.

Monitor and maintain deployed models, ensuring performance and reliability.

Qualifications

Hands‑on experience with AWS SageMaker (training, inference, pipelines, model registry).

Strong knowledge of AWS Bedrock and generative AI concepts (LLMs, prompt engineering).

Profici...