Join us as an Expert MLOps Engineer, specializing in the development and monitoring of AI pipelines, offering your expertise in Canada’s rapid-moving tech landscape.

Ideal candidates will possess over 10 years of experience with a strong focus on deploying machine learning and LLM solutions. You will utilize modern cloud environments like AWS, GCP, or Azure and use tools like Mlflow for pipeline automation. Your expertise will be crucial in optimizing model performance and ensuring data integrity in production settings.

Key Responsibilities:
• Build and oversee ML/LLM pipelines from design to deployment
• Monitor real-time model performance and metrics
• Implement CI/CD strategies for smooth deployments




• Use data visualization tools for insights on model behavior
• Collaborate with Data Engineering teams on pipeline efficiency

Requirements:
• 10+ years of relevant experience in MLOps
• Expertise with Docker, Kubernetes, and cloud tools
• Proficiency in Python and CI/CD methodologies
• Background in ML frameworks and versioning tools
• Related degree in Mathematics or Engineering

Utilize your MLOps expertise to design impactful AI pipelines and improve operational efficiencies.
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📌 Expert MLOps Engineer for AI Pipelines (Ontario)
🏢 Mphasis
📍 Ontario