Technical Project Coordinator(AI/ML)

 About The Role:

As an entry-level Technical Project Coordinator, you will act as the operational bridge between our data science team (consisting of ML and MLOps engineers) and our customer success team. Your primary goal is to handle the administrative and coordination overhead, allowing engineers to focus on building and deploying models.

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.