ML Engineer
Tasks
- Build scalable training inference pipelines
- Collaborate with product analytics teams
- Deploy ML solutions via batch jobs or APIs
- Design develop deploy ML models
- Develop value prediction signals
- Improve recommender ranking models
- Own data exploration experimentation deployment monitoring
- Share knowledge through reviews documentation mentoring
Perks/Benefits
- Corporate discounts
- Fully remote
- Health benefits
- Paid vacation
- Recognition programs
- Referral bonuses
- Reimbursement for training
- Wellness days
- Workspace support
Skills/Tech-stack
A/B | A/B Testing | B testing | Cloud Platforms | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Ranking Models | Recommender Systems | SQL | Scikit-learn
Education
N/A
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