Machine Learning Platform Engineer
Tasks
- Build and maintain model-serving pipelines
- Collaborate across product and data teams
- Conduct code reviews
- Deploy machine learning models
- Design scalable machine learning systems and infrastructure
- Lead codebase contributions and domain understanding
- Maintain and improve data system performance
- Monitor machine learning systems
- Perform testing and uphold software design best practices
- Propose solutions for process and architecture gaps
Perks/Benefits
- Casual dress code
- Dental insurance
- Employee Assistance Program counseling sessions
- Employee wellness counseling
- Free coffee
- Grocery vouchers
- Happy hours
- Medical insurance
- Referral program
- Savings fund
- Team events
- Vacation days
- Vision insurance
Skills/Tech-stack
Automl | Distributed Systems | Docker | Elasticsearch | Event Driven | Event-driven architecture | Feature Store | Hugging Face | Kubernetes | MLflow | Microservices | Model Optimization | Model Registry | Model Serving | NumPy | Online Experimentation | Pandas | Postgres | PyTorch | Python | Relational databases | Scikit-learn | Statsig | System design | TensorFlow
Education
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