Machine Learning Engineer
hace 2 semanas
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.
RESPONSIBILITIES
- 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.
REQUIRED SKILLS
- 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.
- Proficiency using Java (specifically Java APIM) to deploy Machine Learning Models.
- 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
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to lifesaving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
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