Senior Machine Learning Operations Engineer
Tasks
- Balance observability maintainability and readability
- Build ML infrastructure
- Conduct code reviews
- Design scalable ML systems
- Document complex engineering concepts
- Improve data system performance
- Lead sprints
- Maintain ML model serving
- Mentor engineers
- Monitor production systems
- Optimize model performance
- Own systems from design to deployment
- Perform software design and testing best practices
- Propose solutions for process and technology gaps
- Translate ambiguous problems into projects
Perks/Benefits
- 401k matching
- Company-Paid Holidays
- Counseling sessions
- Dental insurance
- Disability coverage
- Employee assistance program
- Employee resource groups
- Gym access
- Life insurance
- Medical insurance
- Paid parental leave
- Paid vacation
- Referral program
- Relocation assistance
- Vision insurance
- Wellness days
Skills/Tech-stack
Cloud Native | Distributed Systems | Docker | Elasticsearch | Event Driven | Event-driven architecture | Kubernetes | Learning operations | Machine Learning | Machine Learning Operations | Model Serving | Object-Oriented | Object-oriented programming | Online Experimentation | PostgreSQL | Python | Relational databases | Statsig | System design
Education
N/A
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