Senior Applications Consultant - AI & Gen AI

Overview: We are seeking 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.

• 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.
• Stay informed on advancements in AI/ML, DevOps, and CI/CD practices, advocating for their adoption to enhance machine learning deployments' efficiency, reliability, and scalability.
• Communicate project status, timelines, and outcomes to technical and non-technical stakeholders, ensuring clarity and transparency throughout development.

• Bachelor’s or Master’s degree in Business, Data Science, Computer Science, or related field.
• Proven experience as a Product Owner or Product Manager, ideally within 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.

• Agile Management: 11 to 18 years
• Product Owner: 11 to 18 years

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 

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.