ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with teams on success metrics
- Design, develop, and deploy ML models
- Improve recommender and ranking models
- Share knowledge through reviews and documentation
Perks/Benefits
- Fully remote
- Health benefits
- Language course discounts
- Paid vacation
- Recognition system
- Referral bonuses
- Training reimbursement
- Wellness days
- Workspace support
Skills/Tech-stack
AWS GCP Azure | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cloud platforms AWS GCP Azure | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | SQL | Scikit-learn
Education
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