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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

**Job Overview:** As a Machine Learning Engineer specializing in Databricks, you will be instrumental in designing, developing, and deploying machine learning models at scale. You will collaborate with cross-functional teams to transform data-driven insights into actionable solutions. Your role will involve the end-to-end machine learning pipeline, including data collection, feature engineering, model training, and deployment.

Responsibilities

Key Responsibilities:

+ **Data Pipeline Development:**

+ Design and implement scalable data pipelines using Databricks to process large volumes of structured and unstructured data.

+ Collaborate with data engineers to ensure data quality, integrity, and availability.

+ **Model Development and Deployment:**

+ Develop machine learning models using frameworks such as Py Spark, TensorFlow, or Scikit-learn.

+ Implement end-to-end machine learning workflows in Databricks, including data preparation, feature engineering, training, validation, and deployment.

+ Optimize models for performance and scalability in production environments.

+ **Continuous Improvement:**

+ Monitor models in production and iterate to improve performance and accuracy.

+ Utilize MLOps practices to automate deployment, monitoring, and management tasks.

+ **Collaboration and Communication:**

+ Work closely with data scientists, data engineers, and business stakeholders to understand requirements and deliver solutions.

+ Present findings and insights to technical and non-technical audiences.

+ **Technical Leadership:**

+ Stay current with the latest advancements in machine learning and Databricks features.

+ Mentor junior engineers and promote knowledge sharing within the team.

Qualifications

Qualifications:

+ **Education:**

+ Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

+ **Experience:**

+ 3+ years of experience in machine learning model development and deployment.

+ Proven experience with Databricks and its applications in ML solutions.

+ Experience with big data technologies such as Py Spark.

+ **Skills:**

+ Proficiency in programming languages such as Python.

+ Strong understanding of machine learning algorithms and statistical methods.

+ Experience with cloud platforms such as AWS, Azure, or Google Cloud.

+ Familiarity with version control systems DevOps tools.

+ Excellent problem-solving skills and attention to detail.

+ **Soft Skills:**

+ Strong communication and presentation skills.

+ Ability to work independently as well as part of a team.

+ Strong organizational skills and the ability to manage multiple projects simultaneously.

Why Join Us?

+ Opportunity to work with cutting-edge technologies and innovative projects.

+ Collaborative and inclusive work environment.

+ Competitive salary and comprehensive benefits package.

+ Opportunities for professional development and career advancement.

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 [email protected]. 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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