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Databricks Specialist - Machine Learning EngineerPublicis GroupeUnited States
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Databricks Specialist - Machine Learning Engineer

Publicis Groupe
  • US
    United States
  • US
    United States

Über

Company description
A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people.
Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best.
We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, and the Publicis Commerce Exchange.
Overview
This is a hybrid position - 3 days per week in office in Southfield, MI, Atlanta, GA, Chicago, IL, or Irving, TX
Job Description
The Auto practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada. Part of a 1,600-member global team, the practice offers the automotive world’s largest service reminder platform along with agency services and digital media solutions. A leader in the automotive space, the team supports over 50% dealers in the US and manages 280M+ customer vehicle relations. Our Auto team is home to innovative thoughts, latest in technology and is always at the front of learning new.
The Data Engineer II would support stakeholders by deploying end to end Machine learning production. Contribute towards building infrastructure, streamlining variety of data and integrate ML models. Demonstrates proactive thinking, passion, and cross team collaboration. Establish strong working relationship with stakeholders.
Responsibilities
Role Responsibilities
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies.
Develop solutions that will deliver high quality personalized recommendations across different channels to our customers.
Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of Cloud Platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably.
Work with Data science team to ensure seamless integration and support of machine learning models operation.
Collaborate with team members and deliver projects on-time with full quality.
Manage multiple projects concurrently to ensure successful completion of projects.
Qualifications
Minimum Qualifications:
Master’s or Bachelor’s Degree in Computer Science, Engineering, Data Science, or related field.
2-4 years of experience as Data Engineer, or ML Engineer deploying hands-on projects.
2+ years of experience in Python, PySpark, Databricks, Data Pipelines, ETL Processes, Data Modeling, Relational and Non-relational databases (NoSQL is a plus).
Good working experience in Cloud Technologies (AWS or Azure)
Familiar with Data Lake Architecture, Integration of Structured and Unstructured data, ML Flow tools, Automated Unit test frameworks,
Understanding of version control (Git) and software engineering best practices
Working knowledge of Machine learning algorithms (supervised/unsupervised, model evaluation).
Exposure to MLOps tools (Docker, CI/CD, model deployment) is a plus
Good written and spoken communication skills.
Great team player and ability collaborate with larger team.
Additional information
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
Paid Family Care for parents and caregivers for 12 weeks or more
Monetary assistance and support for Adoption, Surrogacy and Fertility
Monetary assistance and support for pet adoption
Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
Tuition Assistance
Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
Matching Gifts programs
Flexible working arrangements
'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
Business Resource Groups that support multiple affinities and alliances
The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Publicis Digital Experience is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines.
Compensation Range: $87,210 - $119,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 01/29/2026.
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  • United States

Sprachkenntnisse

  • English
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