AI Project Manager

Role Overview: As an AI Project Manager, you will lead cross-functional teams (engineering, data science, product, QA) to deliver AI-driven solutions on time and within budget. You will manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. Your role will involve translating complex AI technical requirements into actionable project plans and ensuring adherence to Agile/Scrum methodologies and AI project lifecycle best practices. Collaboration with clients to define success metrics, KPIs, and ROI for AI projects will be a key aspect. Additionally, you will drive continuous improvement by integrating feedback and post-implementation reviews while mentoring junior project managers on AI project delivery frameworks. Key Responsibilities: - Lead cross-functional teams to deliver AI-driven solutions within specified timelines and budgets. - Manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. - Translate complex AI technical requirements into actionable project plans. - Ensure adherence to Agile/Scrum methodologies and AI project lifecycle best practices. - Collaborate with clients to define success metrics, KPIs, and ROI for AI projects. - Drive continuous improvement through feedback integration and post-implementation reviews. - Mentor junior project managers on AI project delivery frameworks. Qualification Required: - Minimum 10 years of hands-on project management experience. - 3+ years specifically managing AI/ML, NLP, or Computer Vision projects. - Proficiency in Agile/Scrum, JIRA, Confluence, and project planning tools. - Technical understanding of AI concepts such as machine learning lifecycle, data preprocessing, MLOps. - Experience with cloud platforms (AWS/Azure/GCP) and AI deployment workflows. - Strong stakeholder management skills with IT and business teams. - Bachelors degree in Computer Science, Engineering, or related field. PMP/CSM certification preferred.,