Senior Manager of Data, AI Engineering
Chicago, Illinois, United States
USD 180K-200K Senior-level Full Time
Tasks
- Build data pipelines and manage model deployment
- Communicate AI concepts to executive stakeholders
- Develop and mentor engineering talent
- Drive continuous optimization of AI ML systems
- Ensure scalability reliability and cost efficiency
- Establish engineering execution standards
- Implement observability and monitoring for models
- Lead and scale AI/ML engineering teams
- Own end-to-end ML lifecycle
- Translate business requirements into AI ML roadmaps and delivery plans
Perks/Benefits
- 401k
- Adoption leave
- Employer Paid Long-term Disability
- Employer Paid Short-term Disability
- Health insurance
- Hybrid work
- PTO
- Parental leave
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
APIs | Cloud Platforms | Data Architecture | Data Pipelines | Databricks | Deep learning | Enterprise Data | Enterprise Data Architecture | GenAI | LLM | MLOps | Machine Learning | Model Deployment | Model Health | Model Monitoring | Observability | Python
Education
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