Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- Own ML projects end-to-end, including data preparation, model development, deployment, and monitoring in production.
- Improve and iterate on recommender and ranking models using offline evaluations and A/B testing.
- Develop and refine value prediction signals such as LTV, conversion probability, and first purchase likelihood.
- Build scalable training and inference pipelines, ensuring data quality, reproducibility, and CI/CD best practices.
- Deploy ML solutions via batch jobs or APIs, using Docker and cloud platforms.
- Collaborate with Product and Analytics teams to define success metrics and translate model outcomes into product decisions.
- Share knowledge and best practices within the team through code reviews, documentation, and mentoring.
Requirements
Requirements:3+ years of hands-on experience in ML development, from data exploration to production deployment.Strong Python programming skills, including experience with pandas, NumPy, and scikit-learn.Solid understanding of ML algorithms and the ability to select appropriate approaches for different tasks.Experience with recommender systems, ranking problems, and model evaluation techniques (offline metrics, A/B testing).Proficiency in SQL and experience working with large datasets.Production ML experience, including training/inference pipelines, deployment, monitoring, and containerization with Docker.Familiarity with at least one cloud platform (AWS, GCP, or Azure).Strong problem-solving skills, attention to detail, and ability to work collaboratively in a remote, distributed team.
Benefits & conditions
Benefits:Fully remote, full-time opportunity with global collaboration.28 calendar days of paid vacation annually.7 wellness days per year for personal well-being or household needs.Employee referral bonuses of up to $5,000 for successful hires.50% reimbursement for professional training, international conferences, and development programs.Corporate discounts for English language courses.Health benefits package, including up to $1,000 gross per year reimbursement for private medical insurance or healthcare expenses if corporate coverage is not applicable.Workspace support, including fully equipped offices or co-working access, plus reimbursement of up to $1,000 gross every three years for home office setup or workspace rental.Internal gamified recognition system with redeemable rewards, merchandise, and team-building activities.Why Apply Through Jobgether?We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.