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, pr...