Posted on: 15/10/2025
Description :
Responsibilities :
- Collaborate with Product Engineers and Data Science teams to build and deliver AI products.
- Connect with the internal and external stakeholders to understand use cases and advise on solutions.
- Ability to translate complex technical concepts to non-technical stakeholders.
- Training the team on AI-specific configuration, AI model development, the delivery process, and data analysis.
- An ideal candidate should have proficient knowledge of handling office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build an organized, professional-level documentation.
- Ability to understand responsibilities and priorities, sense possible pitfalls, and discuss them with the team.
- Owning escalations, priority incidents, collaborating to meet resolutions, establishing effective synergy amongst the stakeholders, and gathering their reviews.
- Developing systems and procedures to ensure the quality of delivery.
- Understanding the scope of deliveries and creating collaborative delivery plans.
- Being accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.
- Assisting in people management, including staff recruitment, performance assessment, training, and mentoring.
Requirements :
- Full-time master's degree in either of the following specializations : Management/Engineering/Communication.
- Overall 5- 7 years of experience in ML project management or a similar leadership role.
- Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.
- Prior experience and background in service delivery, data management, team management, client communication, vendor management, and documentation.
- Working knowledge of ML lifecycle and workflows, from initial client consultation to final deployment.
- Good written and verbal communication skills
- Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client.
- Organizational and Interpersonal skills to keep project goals clear, have timely catch-up with internal team/clients, and ensure deliveries are checked and tested before.
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