Project Manager
Summary
Project Manager leading end-to-end delivery of AI/ML initiatives for a US-based client out of Gurgaon: managing scope, budgets, timelines, and Agile/Scrum execution across data prep, model development, deployment, and post-production support. Requires 6+ years PM experience with AI/ML exposure, cloud AI (AWS/Azure/GCP), and tools like Jira.
Description:
We are seeking an experienced Project Manager with AI/ML delivery experience to lead end-to-end execution of Artificial Intelligence initiatives for a US-based client. The ideal candidate will manage cross-functional teams, ensure timely delivery, and translate business requirements into scalable AI solutions.
Key Responsibilities:
- Manage full lifecycle from discovery, data preparation, model development, deployment, and post-production support.
- Collaborate with data scientists, ML engineers, product owners, and client stakeholders.
- Define project scope, timelines, budgets, and resource allocation.
- Drive Agile/Scrum ceremonies and ensure sprint deliverables meet quality standards.
- Track KPIs, risks, and dependencies; proactively mitigate project issues.
- Communicate project status, insights, and technical concepts to non-technical stakeholders.
- Coordinate with US client teams across time zones.
- Support AI governance, compliance, and model monitoring processes.
Required Skills & Qualifications:
- 6+ years of project/program management experience with recent AI/ML project exposure.
- Strong understanding of AI concepts: NLP, computer vision, generative AI, model lifecycle, MLOps.
- Experience managing cloud-based AI solutions (AWS, Azure, or GCP).
- Proficiency in Agile, Scrum, Kanban methodologies.
- Excellent stakeholder management and client communication skills (US client exposure preferred).
- Experience with tools like Jira, Confluence, MS Project, or similar.
Preferred Qualifications:
- PMP / Scrum Master certification.
- Experience working with Generative AI / LLM initiatives.
- Familiarity with data engineering pipelines and APIs.
- Exposure to AI product development or platform builds.
Soft Skills:
- Strong leadership and problem-solving ability
- Clear communication and presentation skills
- Ability to work in fast-paced, distributed teams
- Strategic thinking with execution focus
Nice to Have:
- Experience in AI governance, responsible AI, or model evaluation
- Prior experience working with US startups or enterprise clients
- Technical background in engineering or data science