Job Description
Elevate your career as a Lead Data Solutions Engineer in downtown Toronto with a hybrid role that emphasizes MLOps and data engineering across the ML pipeline. Shape next-generation decisioning systems in a collaborative environment.
This position requires 7+ years of experience in designing high-performance, data-heavy applications. You will lead the development of scalable data pipelines while promoting best practices in analytics and MLOps. Partner across departments to transform business needs into technological solutions.
Key Responsibilities:
• Design and build scalable data pipelines and ML systems
• Define best practices in data and ML engineering
• Collaborate with data scientists and IT teams
• Ensure timely project delivery aligned with business goals
• Identify risks and manage data governance compliance
Requirements:
• 7+ years in backend application design
• 5+ years with big data tools like ...
This position requires 7+ years of experience in designing high-performance, data-heavy applications. You will lead the development of scalable data pipelines while promoting best practices in analytics and MLOps. Partner across departments to transform business needs into technological solutions.
Key Responsibilities:
• Design and build scalable data pipelines and ML systems
• Define best practices in data and ML engineering
• Collaborate with data scientists and IT teams
• Ensure timely project delivery aligned with business goals
• Identify risks and manage data governance compliance
Requirements:
• 7+ years in backend application design
• 5+ years with big data tools like ...