Staff MLOps Engineer

As a Staff MLOps Engineer, you will design, implement, and optimize machine learning operations within our infrastructure, collaborating with data scientists, software engineers, and other cross-functional teams. You will develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems.

Requirements

• Bachelor's Degree in Computer Science/Engineering or equivalent experience
• 8+ years of proven experience working in a similar MLOps or DevOps role
• Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks
• Experience with CI/CD pipelines, version control systems (Git), and automation tools
• Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP)

Benefits

• Medical, dental, and vision plans
• Life and disability insurance
• 401(K) savings plan
• Employee stock purchase plan
• Eleven (11) Company observed holidays
• PTO and comprehensive leave program