ML Engineer

Location: Fully remote or from a modern office. Relocation opportunities to countries where the company has offices may be available after the probation period, subject to approval.

What you will do

• Independently develop and implement machine learning models for product and business needs.
• Design and build APIs integrating ML models with internal services.
• Implement monitoring for model performance, prediction quality, and service reliability.
• Evaluate existing solutions, identify bottlenecks, and optimize performance.
• Translate business objectives into technical decisions and integrate ML solutions into existing infrastructure.

Requirements

• Strong Python skills for reliable, maintainable code, ML logic, and API development.
• Proficiency in SQL for data extraction, processing, and analysis.
• Solid understanding of core machine learning algorithms and hands-on experience applying them.
• Experience evaluating ML model performance and monitoring model quality.
• Ability to make independent technical decisions while keeping business objectives in mind.

Nice to have

• Experience with Java or familiarity with Java-based service architecture.
• Backend engineering experience in large-scale, high-load systems using Java, Python, or TypeScript.
• Experience with low-level code optimization in C/C++.

Culture & Benefits

• Flexible environment based on autonomy, ownership, and trust without micromanagement.
• Medical insurance coverage in countries where the company operates.
• $2,000 annual benefits allowance after the probation period for health insurance upgrades, language learning, and sports activities.
• Partial reimbursement for professional training, courses, and industry conferences.
• Corporate digital library and company-funded weekly online psychologist sessions.
• Relocation assistance may be available after the probation period, subject to approval.