Machine Learning Engineer (SRE Focus)- Canada

Job Summary:
We are seeking a skilled Machine Learning Engineer with a strong Site Reliability Engineering (SRE) mindset to join our team. The ideal candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging.
Key Responsibilities:

• Maintain and support machine learning applications running on Windows and Linux servers in on-premises environments.
  
• Manage and troubleshoot Kubernetes clusters hosting ML workloads.
  
• Collaborate with data scientists and engineers to deploy machine learning models reliably and efficiently.
  
• Implement and maintain monitoring and alerting solutions using DataDog to ensure system health and performance.
  
• Debug and resolve issues in production environments using Python and monitoring tools.
  
• Automate operational tasks to improve system reliability and scalability.
  
• Ensure best practices in security, performance, and availability for ML applications.
  
• Document system architecture, deployment processes, and troubleshooting guides.
  

Required Qualifications:

• Proven experience working with Windows and Linux operating systems in production environments.
  
• Hands-on experience managing on-premises servers and Kubernetes clusters and Docker containers
  
• Strong proficiency in Python programming.
  
• Solid understanding of machine learning concepts and workflows.
  
• Experience with machine learning model deployment and lifecycle management.
  
• Familiarity with monitoring and debugging tools, e.g. DataDog.
  
• Ability to troubleshoot complex issues in distributed systems.
  
• Experience with CI/CD pipelines for ML applications.
  
• Familiarity with AWS cloud platforms
  
• Background in Site Reliability Engineering or DevOps practices.
  
• Strong problem-solving skills and attention to detail.
  
• Excellent communication and collaboration skills.

We need an engineer who is also familiar with model development