Seattle, WA, 98194, USA
6 days ago
ML Engineer - Unity Catalog
**Partof the Capgemini Group, Sogeti makes business value through technology fororganizations that need to implement innovation at speed and want a localpartner with global scale. With a hands-on culture and close proximity to itsclients, Sogeti implements solutions that will help organizations work faster,better, and smarter. By combining its agility and speed of implementationthrough a DevOps approach, Sogeti delivers innovative solutions in qualityengineering, cloud and application development, all driven by AI, data andautomation.** **Job description: ML Engineer - Unity Catalog** **We are looking for an ML engineer with expertise in UnityCatalog and Feature Store in Databricks to help us build and maintaina solid foundation for our data and machine learning workflows. You will workon organizing data, managing access, and enabling machine learning models tooperate efficiently in production** **What You Will Do -** **-** **Set up and manage Unity Catalog in Databricks toorganize and secure data access across teams** **-** **Design and operationalize Feature Stores to supportmachine learning models in production** **-** **Build efficient data pipelines to process and servefeatures to ML workflows** **-** **Collaborate with teams using Databricks, Azure CosmosDB, and other Azure tools to integrate data solutions** **-** **Monitor and optimize the performance of pipelines and featurestores** **What We are Looking For -** **-** **Strongexperience with Unity Catalog in Databricks for managing data assetsand access control** **-** **Hands-onexperience working with Databricks Feature Store or similar solutions** **-** **Knowledgeof building and maintaining scalable ETL pipelines in Databricks** **-** **Familiaritywith Azure tools like Azure Cosmos DB and ACR** **-** **Understandingof machine learning workflows and how feature stores fit into the pipeline** **-** **Strongproblem-solving skills and a collaborative mindset** **-** **Proficiencyin Python and Spark for data engineering tasks** **-** **Experience with monitoringtools like Splunk or Datadog to ensure systemreliability** **-** **Familiarity with AKS for deploying and managing containers** **Education: Bachelor's or Master's degree in Computer Science,Software Engineering, or a related field.** **Life at Sogeti - We support all aspects of your well-beingthroughout the changing stages of your life and career. For eligible employees,we offer:** + Flexible work + Healthcare including dental,vision, mental health, and well-being programs + Financial well-being programssuch as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan + 100% Company-paid mobile phoneplan + 3 weeks Personal Time Off(PTO) and 7 Paid Holidays + Paid parental leave + Family building benefits likeadoption assistance, surrogacy, and cryopreservation + Social well-being benefitslike subsidized back-up child/elder care and tutoring + Mentoring, coaching andlearning programs + Continuing Education: $12,000Annual Tuition Reimbursement plus access to over 20,000 online courses andcertifications through Capgemini University, as well as Coursera andDegreed. + Programs for Counseling,Support, Health and Fitness perks, Auto discounts and much, much more! + Employee Resource Groups + Disaster Relief **Disclaimer - Capgemini is an Equal Opportunity Employerencouraging diversity in the workplace. All qualified applicants will receiveconsideration for employment without regard to race, national origin, genderidentity/expression, age, religion, disability, sexual orientation, genetics,veteran status, marital status or any other characteristic protected by law.** Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law. Sogeti 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.
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