Senior Manager of MLOps, DataRobot

• The ideal candidate has a deep understanding of what it takes to run a robust production system for machine learning operations including expert understanding of cloud platforms and Kubernetes
• They should be familiar with ML and Generative AI concepts as well as data pipelines and orchestration tools
• We are looking for a strong technical leader that has first-hand experience with projects in a similar space
• Production experience with operating cloud-based infrastructure on either AWS, Azure, GCP or Openshift (preferably more than one of those)
• Expert understanding of Kubernetes concepts at at least a CKAD level
• Proficiency in programming languages such as Python and Go
• Proven experience leading and mentoring a team of cross-functional software engineers
• Track record of delivering complex software projects on time with effective team management
• Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Demonstrated experience building cross-functional relationships and fostering consensus
• Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field or equivalent professional experience
• 7+ years of experience in software engineering or MLOps
• 3+ years of experience in a technical leadership or management role

Desirable

• As a Senior Manager of MLOps (Governance, Monitoring and Deploy), you will lead teams focused on building, improving and optimizing DataRobot’s industry leading MLOps product
• In this role you’ll be driving the development of our scalable, secure MLOps infrastructure that supports the end-to-end lifecycle of ML deployments. You’ll partner closely with product managers, tech leads and other senior managers across teams to help shape the roadmap and ensure alignment across our organisation
• As a technical leader, you will collaborate with cross-functional teams to develop innovative, data-driven solutions and seamlessly switch between strategic planning and tactical execution
• Lead, mentor, and manage a team of backend, frontend and devops engineers specializing in MLOps (Governance, Monitoring and Deploy)
• Foster a collaborative and innovative team environment, upholding our Engineering Operating Principles
• Drive team performance, professional development, and skills advancement
• Conduct regular performance reviews, set goals, and provide constructive feedback
• Provide technical direction on MLOps system architecture, model deployment options, and scaling solutions
• Oversee the design and implementation of new features that meet requirements for scalability, performance, cost and reliability
• Collaborate with cross-functional partners, including product and design, to prioritize and plan the MLOps team’s work
• Lead the team’s project execution, ensuring alignment with business goals and timely delivery
• Ensure quality of deliverables, upholding standards for code quality, model performance, and system reliability
• Own and maintain the services and platforms developed and managed by the team
• Accountable for system availability, setting up monitoring and alerting for key model metrics, and ensuring robust runbooks are in place
• Act as the subject matter expert on MLOps infrastructure, helping address tactical issues as they arise
• Work closely with product managers, data scientists, and other stakeholders to understand requirements and deliver MLOps solutions that meet business needs
• Continuously seek opportunities to improve MLOps system performance, reduce cost or increase efficiency
• Stay updated with the latest trends and technologies in machine learning, MLOps, and data science tools