ML Engineer

Tasks

• Build scalable training and inference pipelines
• Collaborate with product and analytics teams
• Deploy ML solutions via batch jobs or APIs
• Design, develop, deploy models
• Improve recommender and ranking models
• Share knowledge through code reviews documentation and mentoring

Perks/Benefits

• Fully remote
• Health insurance reimbursement
• Language courses discount
• Paid vacation
• Professional training reimbursement
• Recognition program
• Referral bonuses
• Wellness days
• Workspace support

Skills/Tech-stack

AWS | Azure | Docker | GCP | Learning algorithms | ML pipelines | Machine Learning | Machine learning algorithms | Model Deployment | Model Evaluation | NumPy | Pandas | Production ML | Production ML pipelines | Python | Ranking Techniques | Recommender Systems | SQL | Scikit-learn