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Job Description & How to Apply Below
Join Bell as a Machine Learning Engineering Developer II in Toronto, Ontario, where you'll leverage your cloud expertise to build robust ML models. This hybrid role will enhance your career through hands-on work in deployment and infrastructure.
As a Machine Learning Engineer II, you will utilize your strong background in machine learning and software engineering. Your responsibilities will include developing and maintaining production ML models on cloud platforms like AWS and Azure, designing infrastructure-as-code, and enhancing CI/CD pipelines. Collaborating closely with product teams, you'll help address production challenges and boost product performance.
Key Responsibilities:
• Develop, deploy, and maintain ML models on cloud platforms
• Implement infrastructure-as-code for ML applications
• Enhance CI/CD pipelines for model development
• Automate machine learning dependencies and workflows
• Collaborate with product teams to improve product robustness
Requirements:
• Bachelor’s degree or relevant experience
• 3+ years in machine learning engineering
• Cloud Associate Engineer certification required
• Proficient in SQL and Python
• Strong knowledge of CI/CD and Dev Ops practices
Utilize your skills in ML engineering, cloud technologies, and software development methodologies at Bell in Toronto.
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