ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with product and analytics teams
- Deploy ML solutions via batch jobs or APIs
- Design develop deploy ML models
- Develop value prediction signals
- Improve recommender and ranking models
- Own ML projects end-to-end
- Share knowledge and best practices
Perks/Benefits
- Health insurance reimbursement
- Language course discounts
- Paid vacation
- Professional training reimbursement
- Recognition system
- Referral bonuses
- Remote work
- Wellness days
- Workspace support
Skills/Tech-stack
Cloud Platforms | Data Analysis | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Problem Solving | Python | Ranking problems | Recommender Systems | SQL | Scikit-learn
Education
N/A
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