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 models
- Improve recommender and ranking models
- Share knowledge through code reviews documentation and mentoring
Perks/Benefits
- Fully remote
- Health insurance reimbursement
- Language courses discount
- Paid vacation
- Professional training reimbursement
- Recognition program
- Referral bonuses
- Wellness days
- Workspace support
Skills/Tech-stack
AWS | Azure | Docker | GCP | Learning algorithms | ML pipelines | Machine Learning | Machine learning algorithms | Model Deployment | Model Evaluation | NumPy | Pandas | Production ML | Production ML pipelines | Python | Ranking Techniques | Recommender Systems | SQL | Scikit-learn
Education
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