Quick overview
Job description
- Independently develop and implement machine learning models to address product and business needs
- Design and build APIs to integrate 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, ensuring ML solutions deliver measurable value
- Collaborate with the team to integrate ML solutions into the existing infrastructure
- Strong Python skills, including writing reliable, maintainable code, implementing ML logic, and developing APIs
- 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 the architecture of Java-based services, Backend engineering experience in large-scale, high-load systems using Java, Python, or TypeScript, experience with low-level code optimization in C/C++
- The opportunity to work on large-scale products and contribute to their development
- A flexible work environment built on autonomy, ownership, and trust, without micromanagement
- The option to work fully remotely or from a modern office
- Medical insurance coverage in countries where the company operates
- An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning and sports activities
- Partial reimbursement for professional training, courses, and participation in industry conferences
- Access to a corporate digital library
- Company-funded weekly online sessions with a psychologist
- Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval
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