About the Institution

OneInfinia AI is an advanced AI and technology solutions platform engineering innovative software, data analytics, eClaims ecosystems, and enterprise solutions for healthcare and digital technology industries.

Role Overview & Scope

The Product Owner AI will lead product direction for AI-driven initiatives, translating complex machine learning capabilities, predictive models, and automation workflows into high-impact functional product features for enterprise applications.

Key Responsibilities

• AI Strategy Execution: Define functional specifications, data pipelines, and feature sets for machine learning and artificial intelligence capabilities.
• Backlog Management: Own and prioritize product backlogs, drafting precise technical user stories for data science and machine learning engineering teams.
• Model Integration: Coordinate with data engineering and developer teams to ensure seamless integration of AI models into end-user software products.
• Market & UX Alignment: Evaluate model accuracy, performance metrics, and user feedback to align AI capabilities with practical business utility.

Minimum Requirements & Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related quantitative field.
• Experience: Experience as a Product Owner or Product Manager leading AI/ML or data-centric product developments.
• Competencies: Strong understanding of machine learning development lifecycles, data workflows, Agile/Scrum methodologies, and API integrations.

• Define functional specifications, data pipelines, and feature sets for machine learning and artificial intelligence capabilities.
• Own and prioritize product backlogs, drafting precise technical user stories for data science and machine learning engineering teams.
• Coordinate with data engineering and developer teams to ensure seamless integration of AI models into end-user software products.
• Evaluate model accuracy, performance metrics, and user feedback to align AI capabilities with practical business utility.

• Machine learning development lifecycles
• Data workflows
• Agile/Scrum methodologies
• API integrations

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related quantitative field.
• Experience as a Product Owner or Product Manager leading AI/ML or data-centric product developments.