ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with teams to define success metrics
- Design, develop, and deploy ML models
- Improve and iterate on recommender and ranking models
- Monitor deployed ML models
- Own ML projects end-to-end
- Share knowledge through reviews and documentation
- Translate data insights into product improvements
Perks/Benefits
- Fully remote
- Health insurance reimbursement
- Language course discounts
- Paid vacation
- Recognition system
- Referral bonuses
- Reimbursement for training and conferences
- Wellness days
- Workspace support
Skills/Tech-stack
A/B | A/B Testing | AWS GCP Azure | B testing | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cloud platforms AWS GCP Azure | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
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