ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with product and analytics teams
- Deploy ML solutions using Docker and cloud platforms
- Design develop deploy ML models
- Develop value prediction signals
- Improve recommender and ranking models
- Own ML projects end-to-end
- Share knowledge through reviews documentation and mentoring
Perks/Benefits
- Health insurance reimbursement
- Language course discounts
- Paid vacation
- Professional development reimbursement
- Recognition and rewards
- Referral bonuses
- Remote work
- Wellness days
- Workspace support
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Platforms | Data Exploration | Docker | GCP | ML algorithms | Model Deployment | Model Evaluation | Model Monitoring | NumPy | Pandas | Python | Ranking | Recommender Systems | SQL | Scikit-learn
Education
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