Step into a pivotal role as a Senior AI Platform Engineer with Akkodis in Downtown Toronto. This hybrid position focuses on building and operationalizing AI capabilities while ensuring effective governance practices.

Akkodis is collaborating with a leading institutional investment organization to find an experienced AI Platform Engineer. This highly technical role demands expertise in MLOps, machine learning operationalization, and cloud engineering. You will work closely with various teams to implement governance requirements and develop scalable AI deployment standards.

Key Responsibilities: • Design and maintain enterprise MLOps and LLMOps capabilities • Automate model deployment, evaluation,



and lifecycle management • Build CI/CD pipelines for AI and machine learning solutions • Implement model governance and operational controls • Troubleshoot and resolve platform and operational issues

Requirements: • 5+ years in MLOps or related fields • Proficiency in machine learning model operationalization • Experience with cloud platforms like AWS or Azure • Familiarity with CI/CD tools such as GitHub Actions • Solid communication skills for diverse stakeholders

Leverage your technical skills to enhance AI capabilities while ensuring operational excellence and governance. #J-18808-Ljbffr

📌 Senior MLOps Engineer at Akkodis (Toronto)
🏢 Akkodis
📍 Toronto