Machine Learning Engineer - Work From Home ChoosingCapgemini means choosing a company where you will be empowered toshape your career in the way you’d like, where you’ll be supportedand inspired by a collaborative community of colleagues around theworld, and where you’ll be able to reimagine what’s possible. Joinus and help the world’s leading organizations unlock the value oftechnology and build a more sustainable, more inclusive world. RESPONSIBILITIES 1. Set up and manage Unity Catalog in Databricksto organize and secure data access across teams. 2. Design andoperationalize Feature Stores to support machine learning models inproduction. 3. Build efficient data pipelines to process and servefeatures to ML workflows. 4. Collaborate with teams usingDatabricks, Azure Cosmos DB, and other Azure tools to integratedata solutions. 5. Monitor and optimize the performance ofpipelines and feature stores. REQUIRED SKILLS 1. Strong experiencewith Unity Catalog in Databricks for managing data assets andaccess control. 2. Hands-on experience working with DatabricksFeature Store or similar solutions. 3. Knowledge of building andmaintaining scalable ETL pipelines in Databricks. 4. Familiaritywith Azure tools like Azure Cosmos DB and ACR. 5. Understanding ofmachine learning workflows and how feature stores fit into thepipeline. 6. Proficiency using Java (specifically Java APIM) todeploy Machine Learning Models. 7. Proficiency in Python and Sparkfor data engineering tasks. 8. Experience with monitoring toolslike Splunk or Datadog to ensure system reliability. 9. Familiaritywith AKS for deploying and managing containers. ABOUT CAPGEMINI AtCapgemini Engineering, the world leader in engineering services, webring together a global team of engineers, scientists, andarchitects to help the world’s most innovative companies unleashtheir potential. From autonomous cars to lifesaving robots, ourdigital and software technology experts think outside the box asthey provide unique R&D; and engineering services across allindustries. Join us for a career full of opportunities. Where youcan make a difference. Where no two days are the same. #J-18808-Ljbffr Engineering