AI Data Engineer Toronto
Summary
AI Data Engineer in Toronto building AI-powered applications end to end: designing scalable cloud data platforms, deploying machine learning, deep learning and Generative AI solutions (RAG, vector databases, AI agents), and maintaining MLOps training/inference pipelines, primarily with Python on Azure, AWS, or GCP.
Build AI-powered applications in Toronto with Python and cloud platforms, turning diverse data into actionable intelligence for Altera. This regular-shift role develops solutions from concept through production.
As an AI Data Engineer, you will design scalable data platforms, machine learning solutions, and intelligent applications. The work includes Generative AI, deep learning, large language models, and advanced analytics. You will collaborate with engineers, product teams, data scientists, and business stakeholders on production-ready systems.
Key Responsibilities:
- Design and optimize AI applications, pipelines, and cloud data platforms
- Deploy machine learning, deep learning, and Generative AI solutions
- Create RAG systems, vector databases, AI agents, and search tools
- Build dashboards, visualizations, reports, and data-driven applications
- Maintain training, inference, and deployment pipelines using MLOps practices
Requirements:
- Bachelor’s or Master’s degree in a related technical field
- Strong Python programming and production software development experience
- At least one year with machine learning and Generative AI
- Experience with Azure, AWS, or Google Cloud platforms
- Knowledge of ETL, data warehousing, MLOps, CI/CD, and Kubernetes
Apply Python, cloud engineering, machine learning, and Generative AI skills to build scalable intelligence platforms at Altera.