ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with cross-functional teams
- Deploy ML solutions via batch jobs or APIs
- Design, develop, and deploy ML models
- Improve recommender and ranking models
- Share knowledge through documentation and mentoring
Perks/Benefits
- Conference support
- Fully remote
- Health benefits
- Language courses discount
- Paid vacation
- Recognition programs
- Referral bonuses
- Training reimbursement
- Wellness days
- Workspace support
Skills/Tech-stack
AWS GCP Azure | CI/CD | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cloud platforms AWS GCP Azure | Data Analysis | Data Exploration | Docker | ML algorithms | Model Deployment | Model Evaluation | Monitoring | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
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