Contribute your expertise as a Senior Data Engineer at the Krembil Centre for Neuroinformatics. This role involves managing data lifecycles and MLOps practices in a mission-driven setting. As a key team member at CAMH, you will handle data ingestion, preparation, and dissemination, ensuring compliance with Canadian privacy laws and healthcare standards.

With a focus on building and maintaining data pipelines for machine learning workloads, your work will directly support clinical and operational AI initiatives while promoting data integrity. Key Responsibilities:

- Own the MLOps practice across research and operational environments
- Build production data pipelines for machine learning
- Deploy and maintain ML services in cloud and on-premises settings
- Document data environments and pipeline processes
- Provide mentorship and technical review to teams Requirements:
- Master’s or PhD in a relevant field
- 5+ years in data engineering or related roles
- Proficient in Python and SQL
- Experience with CI/CD and containerization
- Robust analytical and problem-solving skills Drive impactful change in mental health research with your role in data engineering at CAMH.

📌 Senior Data Engineer at CAMH (Toronto)
🏢 CAMH
📍 Toronto