Machine Learning Engineer

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, 3

Share, and the Publicis Commerce Exchange.

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.

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.

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 (No
  
  SQL 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.

The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits…