AWS ML Developer - Python, Azure Cloud

Responsibilities

• AWS Cloud Computing
• Design and implement ML pipelines using AWS Sage Maker, 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 Sage Maker (training, inference, pipelines, model registry).
• Strong knowledge of AWS Bedrock and generative AI concepts (LLMs, prompt engineering).
• Proficiency in Python and ML frameworks (Tensor Flow, PyTorch, Scikit‑learn).
• Experience with AWS services Lambda, API Gateway, S3, IAM, Cloud Watch.
• Familiarity with MLOps practices and CI/CD pipelines for ML.
• Understanding of data engineering concepts and feature engineering.
• Excellent problem‑solving and communication skills.

Experience: 6-8 years

• Mid‑Senior level

• Full‑time

• Information Technology

• IT Services and IT Consulting

Location:

Markham, Ontario, Canada

Salary: CA$ - CA$