Senior Machine Learning Operations Engineer
Tasks
- Build and maintain ML platform components
- Design scalable ML systems and infrastructure
- Establish ML engineering best practices
- Improve performance of data systems and processes
- Lead sprints and conduct code reviews
- Mentor junior and mid-level engineers
- Own systems across design development deployment and monitoring
- Propose solutions for process and technology gaps
- Review testing and software design best practices
Perks/Benefits
- Casual dress code
- Dental insurance
- Employee assistance program
- Free coffee
- Grocery vouchers
- Happy hours
- Medical insurance
- Office engagement activities
- Referral program
- Savings fund
- Team events
- Vacation days
- Vision insurance
- Wellness counseling
Skills/Tech-stack
Cloud Native | Distributed Systems | Docker | Driven systems | Elasticsearch | Event Driven | Event Driven Systems | Event-driven architecture | Huggingface | Kubernetes | Langchain | Langsmith | Model Optimization | Model Serving | NumPy | Object-Oriented | Object-oriented programming | Online Experimentation | Pandas | PostgreSQL | PyTorch | Python | Relational databases | Scikit-learn | Statsig | System design | TensorFlow
Education
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