Staff Engineer - Machine Learning Operations

August 15

🇺🇸 United States – Remote

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $129.2k - $180.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Canopy

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔐 Security

🔧 Hardware

Description

• Lead the design, development, and implementation of scalable machine learning operations (MLOps) pipelines and infrastructure. • Collaborate with engineers to integrate machine learning models into existing systems and workflows. • Develop and enforce best practices for CI/CD in machine learning projects, including version control, automated testing, and continuous integration. • Monitor the performance and health of data and models in production, implementing strategies for retraining, versioning, and rollback when necessary. • Optimize infrastructure for model training and inference, ensuring scalability, efficiency, and cost-effectiveness. • Work closely with DevOps teams to ensure seamless integration of MLOps pipelines with cloud or on-premises infrastructure. • Provide mentorship and guidance to junior engineers and contribute to the development of MLOps strategies and standards across the organization.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. • 8+ years of experience in software engineering, data engineering, or a related field, with at least 3 years specifically in MLOps. • Strong programming skills in languages such as Python, Java, or C/C++. • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Proficiency in DevOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Strong understanding of version control systems like Git and experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation. • Excellent problem-solving skills, with the ability to troubleshoot complex production issues.

Benefits

• Comprehensive medical benefits coverage, dental plans and vision coverage. • Health care and dependent care spending accounts. • Employee and Family Assistance Program (EAP). • Employee discount programs. • Retirement plan with a generous company match. • Generous Paid Time Off, Sick, and Holidays • Family Leave (Maternity, Paternity) • Short- and long-term disability. • Life insurance and accidental death & dismemberment insurance.