AI/ML Project Manager Lead

Key Responsibilities: Lead and manage end-to-end AI/ML projects, ensuring alignment with business goals and technical feasibility. Collaborate with data scientists, machine learning engineers, software developers, and business stakeholders to define project scope, objectives, and deliverables. Develop detailed project plans, timelines, and resource allocation to ensure on-time delivery. Monitor project progress, identify risks, and implement mitigation strategies. Communicate project status, challenges, and outcomes to senior management and stakeholders. Facilitate agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming. Manage vendor relationships and third-party collaborations when applicable. Ensure quality standards and compliance with organizational policies. Mentor and guide junior project managers or team members. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in project management, preferably in AI, machine learning, or data science projects. Strong knowledge of AI/ML concepts, frameworks, and tools (e.g., TensorFlow, PyTorch, scikit-learn). Proven experience with Agile/Scrum methodologies. Excellent communication, leadership, and interpersonal skills. Strong problem-solving and decision-making abilities. PMP, Scrum Master, or equivalent project management certification is a plus. Preferred Skills: Experience working with cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Understanding of data engineering and data pipeline concepts. Familiarity with MLOps and model deployment strategies. Ability to translate complex technical concepts into business terms. PG