Senior Machine Learning Operations Engineer
Tasks
- Design build and maintain scalable ML systems and infrastructure
- Establish ML engineering best practices across the organization
- Improve performance of data systems and processes
- Lead sprints and conduct code reviews
- Mentor junior and mid-level engineers
- Own systems from design to deployment and monitoring
- Partner with data science and engineering teams to deliver roadmap initiatives
- Perform rigorous testing and software design reviews
- Propose solutions to gaps and risks in architecture
Perks/Benefits
- Casual dress code
- Dental insurance
- Employee assistance program
- Free coffee
- Medical insurance
- Office engagement activities
- Referral program
- Savings fund
- Team events
- Vacation days
- Vision insurance
- Wellness counseling
Skills/Tech-stack
Chalk | Cloud Native | Cloud-native applications | Deep learning | Distributed Systems | Docker | Elasticsearch | Event Driven | Event-driven architecture | Hugging Face | Kubernetes | Langchain | Langsmith | Machine Learning | Machine learning model optimization | Model Optimization | Model Serving | Native Applications | NumPy | Object-Oriented | Object-oriented programming | Pandas | Postgres | PyTorch | Python | Relational databases | Scikit-learn | Snowflake | Statsig | System design | TensorFlow
Education
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