ML Engineer

Tasks

• Build scalable training and inference pipelines
• Collaborate with cross-functional teams to define success metrics
• Deploy ML solutions using Docker and cloud platforms
• Design, develop, and deploy ML models
• Mentor teammates and share best practices
• Optimize recommender and ranking models

Perks/Benefits

• Fully remote
• Health benefits
• Language course discounts
• Paid vacation
• Professional training reimbursement
• Recognition program
• Referral bonuses
• Wellness days
• Workspace support

Skills/Tech-stack

AWS | Azure | CI/CD | Docker | GCP | ML algorithms | Model Evaluation | NumPy | Pandas | Python | Recommender Systems | SQL | Scikit-learn