About the job
What you'll do
Lead the full machine learning lifecycle, including defining problems, specifying data needs, training and validating models, deploying them, and monitoring performance. Build scalable cloud-based ML pipelines and processes, ensure appropriate standards and documentation, collaborate with stakeholders, and mentor and present to team members and other audiences.
What they're looking for
Requires 8–10 years of professional experience in machine learning engineering or a similar role, plus a bachelor's or master's degree in a relevant field. Candidates should have strong Python, machine learning and computer vision expertise, hands-on MLOps and production deployment experience, and the ability to communicate with stakeholders, mentor colleagues, and work collaboratively.