Machine Learning Platform Engineer
Tasks
- Build and maintain ML infrastructure
- Collaborate with product managers data scientists and data engineers
- Conduct code reviews and uphold testing best practices
- Deploy models and monitor performance
- Design, build, and maintain scalable ML systems
- Improve performance of data systems
- Lead continuous improvement and engineering excellence
- Own systems across design development deployment monitoring
- Propose solutions for process and architecture gaps
Perks/Benefits
- Casual dress code
- Dental insurance
- Employee assistance program
- Free coffee
- Happy hours
- Medical insurance
- Monthly Grocery Vouchers
- Office engagement activities
- Referral program
- Savings fund
- Team events
- Vacation days
- Vision insurance
- Wellness Counseling Sessions
Skills/Tech-stack
Automl | Cloud Native | Deep learning | Distributed Systems | Docker | Elasticsearch | Event Driven | Event-driven architecture | Feature Store | Hugging Face | Kubernetes | MLOps | Machine Learning | Microservices | Model Optimization | Model Registry | Model Serving | NumPy | Online Experimentation | Pandas | Postgres | PyTorch | Python | Relational databases | Scikit-learn | Statsig | System design | TensorFlow
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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