ML Engineer
Tasks
- Build scalable training and inference pipelines
- Collaborate with product and analytics teams
- Deploy ML solutions via APIs and batch jobs
- Design develop 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
- Medical insurance reimbursement
- Paid vacation
- Recognition programs
- Referral bonuses
- Training reimbursement
- Wellness days
- Workspace support
Skills/Tech-stack
CI/CD | Cloud Platforms | Data Exploration | Docker | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn
Education
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