ML Engineer

Tasks

• Build scalable training and inference pipelines
• Collaborate with cross-functional teams
• Deploy ML solutions via APIs and batch jobs
• Design, develop, and deploy ML models
• Improve recommenders and ranking models
• Mentor team members
• Translate data insights into product decisions

Perks/Benefits

• Fully remote
• Health benefits
• Language course discounts
• Paid vacation
• Recognition programs
• Referral bonuses
• Training reimbursement
• Wellness days
• Workspace support

Skills/Tech-stack

Cloud Platforms | Docker | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn