ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with product and analytics teams
- Deploy ML solutions using Docker and cloud
- Design, develop, and deploy ML models
- Develop value prediction signals
- Improve recommender and ranking models
- Own end-to-end ML projects
- Share knowledge through code reviews and documentation
Perks/Benefits
- Health benefits
- Language course discounts
- Paid vacation
- Recognition system
- Referral bonuses
- Remote work
- Training reimbursement
- Wellness days
- Workspace support
Skills/Tech-stack
AWS | Azure | Docker | GCP | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
N/A
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