Senior Machine Learning Operations Engineer
Tasks
- Build ML platform infrastructure
- Collaborate with product and data teams
- Conduct code reviews
- Deploy and monitor ML systems
- Design scalable ML systems
- Improve system performance
- Lead sprints
- Maintain ML services and models
- Maintain observability
- Mentor engineers
- Propose solutions for risks
- Support incident response in on call
- Translate requirements into projects
Perks/Benefits
- 401k matching
- Casual dress code
- Employee resource groups
- Free counseling sessions
- Gym access
- Life and disability coverage
- Medical, dental & vision coverage
- Paid Holidays
- Paid parental leave
- Paid vacation time
- Referral program
- Relocation assistance
- Team events
- Wellness days
Skills/Tech-stack
Cloud Native | Data Modeling | Deep learning | Distributed Systems | Docker | Elasticsearch | Event Driven | Event-driven architecture | Hugging Face | Kubernetes | Langchain | Langsmith | Machine Learning | Model Serving | NumPy | Object-Oriented | Object-oriented programming | Online Experimentation | Pandas | Postgres | PyTorch | Python | Relational databases | Scikit-learn | Statsig | System design | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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