ML Engineer

Tasks

• Build scalable training and inference pipelines
• Collaborate with cross-functional teams
• Deploy ML solutions using Docker and cloud platforms
• 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

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

Skills/Tech-stack

Cloud Platforms | Data Preprocessing | Docker | Learning algorithms | Machine Learning | Machine learning algorithms | Model Evaluation | Python | Ranking Models | Recommender Systems | SQL | Version control