Key Responsibilities The successful candidate will be responsible for: • Monitoring model health, pipelines, and alerting systems; • Responding to outages or issues; • Providing quarterly business reviews; • Evaluating champion/challenger models; • Ensuring no bias is introduced into models; Requirements To succeed in this role, you will need: • A background in computer science, informatics, or related fields; • Proficiency in Python for developing and automating ML workflows; • Familiarity with Azure for cloud-based ML services; • Experience with MLFlow for model tracking and management; • Comfort with PowerBI and Grafana for monitoring and visualizing model performance; • Solid understanding of version control using Git; • Interest in containerization, preferably with Kubernetes and containerized applications. About Us We are a mission-driven organization passionate about unlocking the disruptive potential of AI for the world. We believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We foster collaboration between diverse cultures and perspectives, and we strive to connect one million people to meaningful work and build leaders worth following.