ML and Gen AI Engineer - AWS, SageMaker

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.

Hands-on Experience / Technical Skills:

AWS Bedrock and generative AI concepts (LLMs, prompt engineering)

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)

AWS services (Lambda, API Gateway, S3, IAM, CloudWatch)

Familiarity with MLOps practices and CI/CD pipelines for ML

Understanding of data engineering concepts and feature engineering

Excellent problem-solving and communication skills

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