Lead Machine Learning Engineer
Ann Arbor, MI, United States
USD 139K-304K (estimate) Senior-level Full Time
Tasks
- Build reusable ML frameworks and APIs
- Collaborate cross functional teams to deliver AI solutions
- Conduct code reviews and technical troubleshooting
- Design scalable ML/AI architectures
- Develop deploy support production ML and AI solutions
- Evaluate emerging technologies for adoption
- Handle production incidents and root cause analysis
- Implement model deployment monitoring and lifecycle management
- Integrate AI services and enterprise data into production workflows
- Lead machine learning model design development deployment
- Operationalize machine learning and generative AI solutions
- Participate in Agile planning and solution design reviews
- Promote MLOps best practices
- Promote software development best practices
- Provide technical leadership and mentorship
- Support continuous integration testing and peer reviews
- Translate business requirements into technical solutions
Perks/Benefits
- 401k matching
- Adoption Assistance
- Childcare tuition discounts
- Company bonus
- Fertility benefits
- Fitness and wellness programs
- Medical/Dental/Vision insurance
- Mental health support
- Paid Holidays
- Vacation
Skills/Tech-stack
AI Services | Agile | Azure AI | Azure AI Services | Azure Container | Azure Container Apps | Azure Key Vault | Azure Machine Learning | Azure Monitor | Azure Storage | CI/CD | Container Apps | Containerization | Databricks | Docker | Event Hubs | Generative AI | GitHub | GitHub Actions | Key Vault | Kubernetes | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | NumPy | Pandas | PyTorch | Python | REST APIs | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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