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Technical Project/Program Manager

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Onsite

Technical Project/Program Manager

Purview Services

Technical Project/Program Manager

Skills

SnowflakeData AnalysisMachine LearningAIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹2,500,000 / year

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Permanent Role: CGT

Client: Tiger Analytics

Loc: Chennai

Mode: WFO

Roles & Responsibilities:

  • ML Engineering Project Oversight: 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.

EXPERTISE AND QUALIFICATIONS:

Techno-functional

Roles & Responsibilities

  • ML Engineering Project Oversight: 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.

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