ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with cross-functional teams to define success metrics
- Deploy ML solutions using Docker and cloud platforms
- Design, develop, and deploy ML models
- Mentor teammates and share best practices
- Optimize recommender and ranking models
Perks/Benefits
- Fully remote
- Health benefits
- Language course discounts
- Paid vacation
- Professional training reimbursement
- Recognition program
- Referral bonuses
- Wellness days
- Workspace support
Skills/Tech-stack
AWS | Azure | CI/CD | Docker | GCP | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
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