ML Data Operations Lead

Owning the customer-facing operational lifecycle of dataset releases, the full-time ML Data Operations Lead will manage the release calendar, coordinate with ML engineers and engineering teams, and ensure timely delivery of trustworthy datasets for autonomous vehicle development in a remote or onsite capacity. Key responsibilities Serve as the primary operational partner for ML engineers and internal consumers of AV datasets Capture and clarify dataset release requirements, including intended use cases and acceptance criteria Monitor production release workflows, identifying risks and coordinating resolutions with engineering teams Required qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience 6+ years of experience in ML data operations or a related data-intensive operational role Solid understanding of the machine learning data lifecycle, from collection to consumption Ability to use SQL and data-analysis tools to investigate dataset contents and quality issues Strong customer orientation with excellent written communication skills for producing detailed documentation Virtual Vocations Inc