Understand and manage ML engineering initiatives within the technical environment (Snowflake Cortex, MLflow, Azure OpenAI).
Ticket Creation & Management : Create and manage tickets with complete context for ML Ops and production deployments, ensuring accurate descriptions and proper assignment to respective teams.
Stakeholder Coordination : Conduct stakeholder meetings, prepare and circulate Minutes of Meeting (MoM), and drive timely follow-ups for issue resolution.
Technology Understanding : Maintain good knowledge of technologies relevant to ManpowerGroup, including ML platforms, ML engineering, and Generative AI.
Cross-Team Collaboration : Coordinate with multiple internal teams to ensure alignment, accountability, and timely closure of tickets.
Global Engagement : Partner with regional teams (North America, Europe, etc.) to identify, escalate, and resolve issues effectively.
Communication & Tracking : Provide clear, consistent updates on project progress, including plans, status, risks, and dependencies.
Project Planning & Monitoring : Ensure effective tracking, planning, and execution of initiatives in collaboration with the Tiger MLE team.
Reporting : Deliver crisp updates on plans, current status, roadblocks, dependencies, and ETAs to stakeholders and leadership.
Technical Project Manager • bangalore, KA, India