Machine Learning Engineer at Capgemini

Job Description - Machine Learning Engineer (078018)

Machine Learning Engineer - 078018

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 prioritizing data, managing access, and enabling machine learning models to operate efficiently in production.

KEY 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.
• Strong problem-solving skills and a collaborative attitude.
• 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 handling containers.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well-being programs.
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
• Paid time off and paid holidays.
• Paid parental leave.
• Family building benefits like adoption assistance, surrogacy, and cryopreservation.
• Social well-being benefits like subsidized back-up child/elder care and tutoring.
• Mentoring, coaching and learning programs.
• Employee Resource Groups.
• Disaster Relief.

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 is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.