Overview: We seek a Product Owner for AI/ML solutions to lead the strategic vision, development, and deployment of machine learning products. In this role, you will work closely with data science, engineering, and DevOps teams to ensure AI/ML models are designed and deployed efficiently, incorporating CI/CD practices for continuous improvement. You will bridge the gap between business objectives and technical execution, driving the prioritization and delivery of impactful AI solutions.
Key Responsibilities:
Who can define and prioritize the AI/ML product roadmap, ensuring alignment with business objectives and maximizing the value delivered by AI/ML initiatives?
Collaborate with data science and engineering teams to implement and maintain CI/CD pipelines for model deployment, versioning, and updates, ensuring a smooth production lifecycle.
Work with DevOps and engineering teams to build scalable and reliable deployment workflows for machine learning models, focusing on automation and performance.
Gather, document, and communicate requirements for machine learning solutions, translating business needs into actionable tasks for the data science and engineering teams.
Oversee the end-to-end lifecycle of deployed models, coordinating with technical teams to monitor performance and ensure timely retraining or updates as needed.
Collaborate with stakeholders to define KPIs for model success, leveraging metrics and feedback loops to assess and improve model effectiveness.
Please stay informed on advancements in AI/ML, DevOps, and CI/CD practices, and I want to advocate for their adoption to enhance the efficiency, reliability, and scalability of machine learning deployments.
Please communicate project status, timelines, and outcomes to technical and non-technical stakeholders, making sure it's clear and consistent throughout development.
Qualifications and Skills:
Bachelor's or Master's in Business, Data Science, Computer Science, or related field.
Proven experience as a product owner or manager, ideally in AI/ML or data-driven projects.
Strong understanding of machine learning concepts and CI/CD principles, with the ability to coordinate with DevOps teams to enable continuous integration and automated model deployment.
Familiarity with cloud environments (e.g., Azure ML) and DevOps tools (e.g., Jenkins, Git, Docker) to support the efficient deployment of AI/ML models.
Exceptional communication skills, with the ability to translate complex technical requirements into business-focused language for stakeholders.
Knowledge of agile methodologies and experience managing projects within agile frameworks.
Strong analytical skills with a data-driven approach to prioritizing tasks, measuring impact, and iterating on solutions.
Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Collaborating with teams of creative, fun, and driven colleagues
Flexible work options enabling time and location-based flexibility
Company-provided home office equipment
Virtual collaboration and productivity tools to enable hybrid teams
Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
Other perks and wellness benefits like discount programs, and gym/studio access.
Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
Tuition assistance and weekly hot skill development opportunities
Experiential, high-impact learning series events
Access to mental health resources and mindfulness programs
Access to join Capgemini Employee Resource Groups around communities of interest