Razorfish · 1 hour ago
Machine Learning Engineer
Birmingham, MI
Full-time
Hybrid
Mid Level
$87K/yr - $119K/yr
3+ years expRazorfish is a leader in the marketing industry with a focus on digital expertise and inclusion. They are seeking a Machine Learning Engineer to design, build, and maintain production-grade ML systems across cloud platforms, blending software engineering and ML expertise to create scalable solutions.
AdvertisingInternetSearch EngineWeb Design
Responsibilities
Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks, SageMaker, Azure ML)
Develop and integrate microservices, REST APIs, and webhooks for ML model serving
Implement CI/CD pipelines for automated model training, testing, and deployment
Create robust data processing workflows for model training and inference
Build and maintain ML infrastructure using modern MLOps practices and tools (e.g., MLflow, Kubeflow, Vertex AI Pipelines)
Implement model monitoring, versioning, and performance tracking systems
Design automated retraining pipelines and manage model lifecycle
Ensure reliability, scalability, and security of models in production
Optimize inference performance and cost efficiency across cloud platforms
Write clean, maintainable, and well-documented code following best practices
Implement comprehensive testing strategies including unit, integration, and model testing
Contribute to technical design reviews and architecture decisions
Maintain high code quality standards and participate in code reviews
Partner with data scientists to productionize research models and prototypes
Collaborate with data engineers to design efficient data pipelines and feature stores
Work with product teams to integrate ML capabilities into customer-facing applications
Participate in agile development processes and cross-functional project planning
Provide technical guidance and mentorship to junior team members
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field
3–4 years of professional experience in ML engineering, software engineering, or data science
2+ years of hands-on experience deploying and maintaining ML models in production
Experience working in collaborative, cross-functional team environments
Strong proficiency in Python and SQL (2+ years)
Experience with XGBoost, TensorFlow, PyTorch, sklearn, or Keras
Solid hands-on experience with GCP, AWS, or Azure
Practical knowledge of Vertex AI, SageMaker, Azure ML, or Databricks
Proficient with BigQuery, Redshift, Azure Synapse
Skilled in Databricks, Apache Spark, Dataflow, Pub/Sub, Kafka
Experience with Airflow, Cloud Composer, Jenkins
Understanding of cloud networking, security, and cost optimization
Familiarity with CI/CD, ML lifecycle management
Experience with REST APIs and microservices
Proficiency with Git and collaborative development workflows
Strong understanding of ML algorithms, model evaluation, and validation
Experience with data preprocessing, feature engineering, and performance tuning
Solid software engineering fundamentals and coding best practices
Awareness of data privacy, security, and ethical AI principles
Excellent collaboration skills with technical and non-technical stakeholders
Self-driven learner with curiosity about emerging ML technologies
Preferred
MLOps Tools: MLflow, Kubeflow, Vertex AI Pipelines
Containerization: Docker; basic Kubernetes knowledge
Specialized ML: Exposure to NLP, computer vision, or deep learning
Modern ML: Familiarity with LLMs, RAG patterns, transformer architectures
Agile development and cross-functional collaboration
Code review and technical documentation practices
Interest in mentorship and knowledge sharing
Experience with model validation and software testing principles
Benefits
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
Company
Razorfish
Hi there! We’re Razorfish. We see consumers as more than just metrics. We see them as people – wonderful, complex, interesting people.
1001-5000 employees
H1B Sponsorship
Razorfish has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (4)
2023 (5)
Funding
Current Stage
Late StageLeadership Team
Josh Campo
CEO
David Hawes
SVP, Executive Client Partner
Company data provided by crunchbase