Technical Project Coordinator(AI/ML)

Key Responsibilities:

• Agile Management:
  Facilitate daily scrum updates, manage the team’s JIRA board, and assist in sprint planning and retrospective sessions.
• Requirements Gathering:
  Meet with business teams to document technical requirements and translate them into actionable tasks for the engineering team.
• Call Coordination:
  Schedule and moderate calls between engineering, MLOps, and business stakeholders, take follow-ups, and ensure clear communication of project status.
• Project Administration:
  Support project setup, manage documentation, and track delivery timelines to ensure milestones are met.
• Cross-Team Sync:
  Coordinate with other departments (Data Science, DevOps, QA) to manage dependencies and remove operational bottlenecks.

Qualifications:

• Education:
  Bachelor’s degree in Computer Science, IT, Business Management, or a related field.
• Technical Familiarity:
  Understanding of the ML lifecycle (training to deployment) and basic MLOps concepts.
• Tools:
  Hands-on experience or certification in JIRA and Agile/Scrum methodologies.
• Skills:
  Exceptional organizational skills, verbal and written communication, and the ability to simplify technical jargon for business users.
• Certifications (Preferred):
  Certified Scrum Master (CSM) or CAPM is a plus.