MLOps Engineer

Explore the Data and AI community, where you will belong to a proud global collective of expert enthusiasts and lifetime learners of cutting-edge technology and innovation.
Data and AI solutions empower business leaders to deliver exceptional customer experiences, shift to intelligent and sustainable products and services, and transform business operations for greater agility and efficiency – and become data masters.
Meet Rakesh Jangid who tells us about his journey as MLOps Engineer
Within data and AI, you will…
Shape service offers, accelerators to create new opportunities
You will monitor and communicate the latest technology trends, actively engage with partner ecosystem to generate market presence and create opportunities, and shape business opportunities and offerings through the application of new technologies.
Ensure quality, integrity, and timely decision-making
You will help ensure overall quality, integrity and sustainability, provide leadership and direction to the technical teams, and actively manage the solution scope and technology risk.
Partner with or provide engagement management on data projects
You will partner with account teams to provide expertise and take joint responsibility of the delivery, operate the design model for the engagement, and embed the approach to execute a successful delivery.
Scroll to discover just a few examples of real-life projects that data and AI professionals at Capgemini have been working on
Chatbot development for a global organization
Our team developed two chatbots, powered by advanced RAG language models, that mimic human conversation patterns and offer personalized assistance to users who can upload documents and receive tailored advice, on their financial documents.
We revamped the entire consumer data store to get the right type of insights for a large retail company. This enabled them to ingest and digest the data easily, understand the insights, and use them effectively for marketing.
Looking to join us? You might be into…

You have a background in areas like statistics, data visualisation, or data science.You’re looking forward to working with big name clients to support their growth journey.You might be aspiring to grow as a manager and have your own team to be able to mentor others.You’re eager to learn in your new job, and connect with as many colleagues as possible.
You might have a first experience in data analysis, before moving into data visualization.You have expertise indata analysis, dashboarding and showing the value that data bring to the clients you work with. In fact, you enjoy using the power of data to influence clients and help them make better business decisions.You’re looking to expand your knowledge in different visualization tools like Cognos, SQL, and become a specialist in your fieldYou might also be seeking to grow your career through certifications to work on even more impactful projects.
You’re experienced in working with data – and that might be in areas like cleaning to transforming and building data pipelines on cloud environments.You know how to build systems where data can be collected, transformed and analyzed from multiple projects in different industries.You enjoy working on multiple projects and discovering different technologies in booming fields, and you’re eager to stay up-to-date and keep learning.You might be seeking to grow within the data engineering space, or develop wholistic skills in data governance, visualization, and Gen AI.You’re good at collaboration, and would like to work on bigger data transformation projects involving multiple strategic stakeholders.
You have a data engineer background with expertise across data fields, perhaps specialized in building AI models across diverse industries and projects.You’re highly adaptable and proficient in areas like Python, R, Cloud services, and data science, and you excel in critical thinking and client communication.Driven by learning and exploration in the dynamic field of AI, you’re looking to further your career in the Gen AI space.You might also be interested in transitioning into a DevOps role.
You have ten years or so of robust experience in data governance field, coupled with a solid background in business operations and data management strategies.You enjoy problem-solving and assisting diverse clients in applying your expertise and delivering impactful solutions.You’re looking for a leadership role where you can mentor your team to serve clients in the most efficient way.You thrive in diverse collaborative environments, where you can discover and learn from new challenges.
Busting some myths about data engineers
busts the popular myth that degrees can become a data engineer’. She started her career in psychology and now is a data engineer with the Cloud Data Platform Team at Capgemini UK.
Growth is limited as a data Engineer. Myth! Snehesh shares his thoughts on how his work as a data engineer is varied, allowing him to learn every day and create a real impact.
Wrong! talks about the exciting nature of the data engineer role, as the first and important step into the data lifecycle.
What’s great about being in data and AI at Capgemini
Attend key learning and partner events
Take part in industry talks, learning events, and data exhibitions to stay up-to-date; attend major partner events with names like AWS, Informatica, or SAP; and get involved in our Global Data Science Challenge and other hackathons with market specialists from around the world to contribute to life-changing projects.
Take advantage of our data communities
Expand your expertise and share and grow your knowledge with our data communities like AI and analytics, enterprise content management, data trust, data engineering, data analysis and modelling, and data intelligence and experience.
Take advantage of the opportunity to get certified with our data partners. We offer free data-related courses across a wide range of learning platforms (Degreed, My Learning) Intelligent Industry Training…) as well as open learning at our leading Gen AI campus.
Do good with data and AI
By using latest technologies and innovative solutions, data ecosystems can help us in achieving the sustainable development goals and keep us stay on track.
Share experiences and role model
Our podcast series Her Story features some of our remarkable women from our data and AI global practice.
A career can take you in multiple directions. Data and AI professionals are well-equipped to move into one of the following areas, too.
Shape and translate business and IT strategies and needs into realizable, sustainable technology solutions.
Design, configure, deploy and maintain SaaS and packaged-based solutions for our clients’ unique needs.
Use your technical and business capabilities to help ensure a secure environment that enables business operations to thrive.
Make it real with Data and AI.