AWS Machine Learning & Generative AI Engineer

Role name - AWS Machine Learning & Generative AI Engineer (SageMaker & Bedrock)

Location - Toronto - 2 or 3 days

Duration - Contract

Exp Level - 6 8 years

JOB DESCRIPTION

• 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 with AWS SageMaker (training| inference| pipelines| model registry).
• Strong knowledge of AWS Bedrock and generative AI concepts (LLMs| prompt engineering).
• Proficiency in Python and ML frameworks (TensorFlow| PyTorch| Scikit-learn).
• Experience with AWS services Lambda| API Gateway| S3| IAM| CloudWatch.
• Familiarity with MLOps practices and CICD pipelines for ML.
• Understanding of data engineering concepts and feature engineering.

Excellent problem-solving and communication skills.

• Regards,

Email: ana@apptoza.com

Phone #: 6788247770