Scrum Master

AI Scrum Master: We are looking for an experienced AI Scrum Master with 5-8 years of experience to drive Agile delivery for AI/ML and technology-focused projects. The ideal candidate should have strong expertise in Scrum/Agile methodologies and experience working with cross-functional technical teams. Key Responsibilities: - Lead and facilitate Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. - Drive Agile delivery across AI/ML, Data Science, GenAI, or technology-driven projects. - Work closely with Product Owners, Developers, Data Scientists, ML Engineers, and business stakeholders. - Remove impediments, manage risks and dependencies, and ensure smooth sprint execution. - Support backlog management, estimation, prioritization, and sprint planning. - Track project progress, identify delivery risks, and communicate updates to stakeholders. - Coach teams on Agile/Scrum best practices and foster a culture of continuous improvement. - Facilitate collaboration between technical and business teams. - Adapt Agile practices to the unique requirements of AI/ML and data-driven projects. Required Skills & Experience: - 5-8 years of experience as a Scrum Master, Agile Project Manager, or Agile Delivery Lead. - Strong understanding of Agile/Scrum methodologies and project delivery. - Experience working with AI/ML, GenAI, Data Science, or technology product development teams. - Strong stakeholder management, communication, facilitation, and problem-solving skills. - Experience with Agile tools such as Jira, Confluence, or Azure DevOps. - Ability to manage multiple stakeholders, dependencies, and priorities in a fast-paced environment. - CSM, PSM, SAFe, or equivalent certification is an added advantage. Preferred Candidate Background: - Candidates with experience in Big 4 consulting firms such as Deloitte, PwC, EY, or KPMG will be preferred. - Candidates graduated from Tier 1 or Tier 2 colleges/institutes will be preferred. - Prior experience working on AI/ML, GenAI, Data Science, or complex technology transformation projects will be highly valued. - Strong exposure to working with senior stakeholders and cross-functional technical teams is preferred.