Product Owner

3 days ago

New York, United States Capgemini Full time

Job Title: Product Owner - AI/ML



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

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