Machine Learning Engineer

ML Engineer – Unity Catalog

We are looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning workflows. You will work on organizing data, managing access, and enabling machine learning models to operate efficiently in production

What You Will Do -

• Set up and manage Unity Catalog in Databricks to organize and secure data access across teams
• Design and operationalize Feature Stores to support machine learning models in production
• Build efficient data pipelines to process and serve features to ML workflows
• Collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions
• Monitor and optimize the performance of pipelines and feature stores

What We are Looking For -

• Strong experience with Unity Catalog in Databricks for managing data assets and access control
• Hands-on experience working with Databricks Feature Store or similar solutions
• Knowledge of building and maintaining scalable ETL pipelines in Databricks
• Familiarity with Azure tools like Azure Cosmos DB and ACR
• Understanding of machine learning workflows and how feature stores fit into the pipeline
• Strong problem-solving skills and a collaborative mindset
• Proficiency in Python and Spark for data engineering tasks
• Experience with monitoring tools like Splunk or Datadog to ensure system reliability • Familiarity with AKS for deploying and managing containers

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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.

We thank all applicants for their interest. However please note that only shortlisted candidates will be contacted.

By applying you agree with the Processing of personal data in the process of recruitment and selection. You accept that your personal data is used for the purpose of selecting candidates and that these personal data is stored within Capgemini engineering.