ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with cross-functional teams
- Deploy ML solutions using Docker and cloud platforms
- Design, develop, and deploy ML models
- Develop value prediction signals
- Improve recommender and ranking models
- Own end-to-end ML projects
- Share knowledge and best practices
Perks/Benefits
- Fully remote
- Health benefits
- Language course discounts
- Paid vacation
- Professional training reimbursement
- Recognition system
- Referral bonuses
- Wellness days
- Workspace support
Skills/Tech-stack
Cloud Platforms | Data Preprocessing | Docker | Learning algorithms | Machine Learning | Machine learning algorithms | Model Evaluation | Python | Ranking Models | Recommender Systems | SQL | Version control
Education
N/A
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