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Machine Learning Engineering

$87k-119k/hrFull-timeHybrid

location_on228, George Street, Haynes Square, Birmingham, Oakland County, Michigan, 48009, United States

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Job Description

About Razorfish

Hi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives.

About the Role

We’re seeking a Machine Learning Engineer to help design, build, and maintain production-grade ML systems across cloud platforms. This role blends software engineering and ML expertise to translate prototypes into scalable solutions. You’ll own the full ML lifecycle from development and deployment to monitoring and optimization using tools like Databricks, Vertex AI, and other cloud-native platforms. Strong technical skills, collaboration, and a passion for delivering AI at scale are essential.

Our Culture & Benefits

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.

Equal Opportunity Employer

Razorfish 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 USMTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Work location

Work model: Hybrid

228, George Street, Haynes Square, Birmingham, Oakland County, Michigan, 48009, United States

Michigan

Open in Google Maps(42.54002, -83.21304)

Key Responsibilities

  • check_circleDesign and build scalable ML pipelines using cloud services
  • check_circleDevelop and integrate microservices and REST APIs
  • check_circleImplement CI/CD pipelines for model training and deployment
  • check_circleBuild and maintain ML infrastructure using MLOps practices
  • check_circleImplement model monitoring versioning and performance tracking
  • check_circlePartner with data scientists to productionize models
  • check_circleCollaborate with data engineers to design data pipelines
  • check_circleWrite clean maintainable code and conduct code reviews

Requirements

  • verifiedBachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field
  • verified3-4 years professional experience in ML engineering, software engineering, or data science.
  • verified2+ years deploying ML models in production.
  • verifiedStrong proficiency in Python and SQL.
  • verifiedExperience with XGBoost, TensorFlow, PyTorch, sklearn, or Keras.
  • verifiedSolid hands-on experience with GCP, AWS, or.
  • verifiedPractical knowledge of Vertex AI, SageMaker, Azure ML, or.
  • verifiedProficient with BigQuery, Redshift, Azure Synapse.
  • verifiedSkilled in Databricks.
  • verifiedUnderstanding of cloud networking.
  • verifiedFamiliarity with CI/CD.
  • verifiedExperience with REST APIs.
  • verifiedProficiency with Git.

Benefits & Perks

check_circlePaid Family Care for parents and caregivers for 12 weeks or morecheck_circleMonetary assistance and support for Adoption, Surrogacy and Fertilitycheck_circleMonetary assistance and support for pet adoptioncheck_circleEmployee Assistance Programs and Health/Wellness/Comfort reimbursementscheck_circleTuition Assistancecheck_circleFlexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity dayscheck_circleMatching Gifts programscheck_circleFlexible working arrangementscheck_circleWork Your World Program encouraging employees to work from anywherecheck_circleBusiness Resource Groups that support multiple

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Skills, education and keywords

Skills: machine learning, mlops, data science, python, sql, xgboost, tensorflow, pytorch, sklearn, keras.

Education: Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field.

Frequently asked questions about Machine Learning Engineering at Publicis Groupe ANZ

What does a Machine Learning Engineering at Publicis Groupe ANZ do?expand_more
A Machine Learning Engineering at Publicis Groupe ANZ is responsible for the following: Design and build scalable ML pipelines using cloud services; Develop and integrate microservices and REST APIs; Implement CI/CD pipelines for model training and deployment; and Build and maintain ML infrastructure using MLOps practices.
What are the requirements for this Machine Learning Engineering role?expand_more
Publicis Groupe ANZ is looking for candidates who meet the following requirements: Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field; 3-4 years professional experience in ML engineering, software engineering, or data science.; 2+ years deploying ML models in production.; Strong proficiency in Python and SQL.; Experience with XGBoost, TensorFlow, PyTorch, sklearn, or Keras.; and Solid hands-on experience with GCP, AWS, or..
What is the salary range for Machine Learning Engineering at Publicis Groupe ANZ?expand_more
The advertised salary range for Machine Learning Engineering at Publicis Groupe ANZ is $87k-119k/hr.
Where is the Machine Learning Engineering role at Publicis Groupe ANZ located?expand_more
Machine Learning Engineering at Publicis Groupe ANZ is based in 228, George Street, Haynes Square, Birmingham, Oakland County, Michigan, 48009, United States. This is a hybrid role.
Is this Machine Learning Engineering job remote, hybrid, or on-site?expand_more
Publicis Groupe ANZ has listed this Machine Learning Engineering role as hybrid.
How much experience is required for this Machine Learning Engineering role?expand_more
Machine Learning Engineering at Publicis Groupe ANZ typically requires 3–4 years of relevant experience at the mid level level.
What skills do you need for the Machine Learning Engineering role at Publicis Groupe ANZ?expand_more
Key skills for Machine Learning Engineering at Publicis Groupe ANZ include machine learning; mlops; data science; python; sql; xgboost; tensorflow; and pytorch.
What education is required for Machine Learning Engineering at Publicis Groupe ANZ?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field.
What category does the Machine Learning Engineering role belong to?expand_more
Machine Learning Engineering at Publicis Groupe ANZ is part of the Information Technology job category on Recrutus.