AI/ML Program Manager

·        AI/ML Expertise: Understanding of machine learning lifecycle, model deployment, and data pipelines.
·        Agile & Scrum: Strong knowledge of Agile methodologies, sprint planning, backlog grooming, and working with cross-functional teams.
·        Project & Program Management: Experience in managing AI/ML projects end-to-end, including risk management, stakeholder communication, and resource allocation.
·        Technical Understanding: Familiarity with ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and MLOps best practices.
·        Collaboration: Working closely with data scientists, engineers, and business stakeholders to ensure AI projects align with strategic goals.
·        Metrics & ROI Measurement: Defining key performance indicators (KPIs) for AI models and tracking their success post-deployment.
Responsibilities:
·        Leading AI/ML initiatives, ensuring they align with business objectives.
·        Managing cross-functional teams to develop and deploy AI solutions efficiently.
·        Facilitating Agile ceremonies (stand-ups, sprint reviews, retrospectives).
·        Ensuring AI/ML models are continuously improved and integrated into business processes.
·        Managing risks, dependencies, and compliance challenges in AI deployments.
·        Driving innovation by exploring new AI trends and methodologies