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 projects end to end
- Share knowledge through code reviews and mentoring
Perks/Benefits
- Fully remote
- Health benefits
- Language course discounts
- Paid vacation
- Professional development reimbursement
- Recognition programs
- Referral bonuses
- Wellness days
- Workspace support
Skills/Tech-stack
CI/CD | Cloud Platforms | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
N/A
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