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
• Develop value prediction signals
• Improve recommender and ranking models
• Own end-to-end ML projects
• Share knowledge and best practices

Perks/Benefits

• Health benefits
• Language course discounts
• Paid vacation
• Recognition system
• Referral bonuses
• Remote work
• Training reimbursement
• Wellness days
• Workspace support

Skills/Tech-stack

A/B | A/B Testing | B testing | Cloud Platforms | Data Exploration | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Ranking problems | Recommender Systems | SQL | Scikit-learn