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Full-time
Meal Tickets, Medical Services, Benefit Online, Employee Share Option Plan, Training Programs
Posted 21d ago
~40 hrs/week
Responsibilities
Lead the design and definition of Machine Learning architecture and delivery approaches, specifically focusing on Customer Lifetime Value use cases. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions within the Databricks ecosystem.
Requirements
Requires over 7 years of experience in Data or Solution Architecture with a proven track record of delivering production-level ML use cases. Proficiency in Databricks, MLflow, and major cloud platforms (Azure, AWS, or GCP) is essential.
Full job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
We are seeking an experienced Data Architect to lead the design and definition of our Machine Learning architecture and delivery approach for commercial analytics use cases, with an initial focus on Customer Lifetime Value (CLV). The architect will assess the current ML processes and requirements, define the target architecture, establish best practices, and collaborate with business and technical stakeholders to create a practical implementation roadmap. This role is focused on ML solution architecture and delivery, leveraging platforms such as Databricks and MLflow. Experience with GenAI, LLMs, or advanced AI technologies is beneficial but not mandatory.
YOUR ROLE
•Assess and document the current ML requirements, processes, and technical landscape. •Defihe end-to-end target architecture for ML solutions, ensuring scalability, maintainability, and business alignment. •Design architecture patterns and best practices for model development, deployment, monitoring, and governance. •Lead the architecture definition for the Customer Lifetime Value (CLV) use case and future ML initiatives. •Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders to translate business requirements into technical solutions. •Define data, model, and platform integration principles within the Databricks ecosystem. •Establish ML lifecycle management processes using MLflow and related tooling. •Support the creation of an implementation roadmap, including phases, dependencies, risks, and technical recommendations. •Provide architectural guidance during implementation and ensure alignment with enterprise architecture standards. •Review and validate solution designs, technical specifications, and implementation approaches.
YOUR PROFILE
•7+ years of experience in Data Architecture, Data Engineering, or Solution Architecture roles. •Proven experience delivering commercial Machine Learning use cases in production environments. •Strong experience designing and implementing solutions using: Databricks, MLflow and Cloud-based data platforms (Azure, AWS, or GCP) •Solid understanding of: Machine Learning lifecycle management, MLOps concepts and best practices, Data architecture and integration patterns and Data modeling and data governance principles •Experience working with cross-functional teams including business stakeholders, data scientists, and engineering teams. •Strong communication and stakeholder management skills
WHAT YOU'LL LOVE ABOUT WORKING HERE:
•Flexible and dynamic work environment involving teams spread across different global locations; •Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society; •Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera); •Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
Related keywords
Data ArchitectureMachine LearningMLOpsDatabricksMLflowAzureAWSGCPCustomer Lifetime ValueGenAILLMsData EngineeringData ModelingData GovernanceSolution ArchitectureCloud Computing
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Make it real | www.capgemini.com
Offices: Place de l'Étoile, 11 rue de Tilsitt, Paris, France 75017, FR · Hullenbergweg 294, Amsterdam, North Holland 1101 BV, NL · 1601 Bryan St, Dallas, TX 75201, US · 595 Collins St, Melbourne, VIC 3000, AU · Fauststraat 3, Apeldoorn, Gelderland 7323 BA, NL
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