Senior MLOps Engineer

📋 Description

• Design, develop, and maintain end-to-end machine learning pipelines for model training, evaluation
• Build and optimize infrastructure for model training and serving across cloud platforms and compute
• Develop and maintain tools supporting data pipelines, data labeling, experiment tracking, model
• Collaborate with AI researchers and machine learning engineers to transition proof-of-concept
• Implement and improve CI/CD practices for machine learning systems, including continuous
• Monitor production models for performance, health, data quality, and model drift, implementing

🎯 Requirements

• 6–10+ years of experience in software engineering or machine learning engineering, including at
• Strong programming skills in Python and experience with languages and scripting tools such as C
• Demonstrated experience deploying, operating, and maintaining machine learning models in production
• Proficiency with Docker and Kubernetes for containerization and scalable machine learning system
• Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure
• Experience designing, implementing, and maintaining CI/CD pipelines using tools such as GitHub

🎁 Benefits

• Competitive base salary ranging from CAD $150,000 to $200,000, depending on skills, experience
• Competitive compensation packages designed to recognize employees' contributions and expertise.
• Paid time off to support rest, personal commitments, and work-life balance.
• Benefits intended to support employees' health and the well-being of their families, subject to
• Remote work environment offering flexibility and opportunities to collaborate with distributed
• Significant technical ownership as the first MLOps Engineer, with the opportunity to establish