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.