Machine Learning Engineer

About EveryMatrix

• EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services.
• We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide .
• But that's not all!
• We're not just about numbers, we're about people .
• With a team of over 1500 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.
• Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
• Zagreb office is part of OddsMatrix, which empowers clients to unleash bold ideas and deliver outstanding player experiences.
• For over a decade, we have offered tailored B2B sports betting solutions for every market.
• Featured services include turnkey betting software (online, retail and omnichannel), real-time sports data APIs and data feeds.
• We are looking for a passionate and dedicated Machine Learning Engineer to join our team in Zagreb, Croatia!
• Come join us and experience the difference!
• EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association.
• In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification.
• EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Responsibilities

• Analyze business requests and design, develop and optimize data-driven machine learning models.
• Collect, clean and prepare data for model training and evaluation.
• Evaluate and compare various mathematical and statistical modeling techniques, measuring performance and identifying improvement opportunities.
• Implement approved ML models in collaboration with developers and ensure smooth integration into production environments.
• Support product teams with mathematical expertise (e.g., creating formulas for new betting features or optimizing existing algorithms).
• Provide guidance to internal stakeholders on model usage, interpretation and potential limitations.
• Monitor model performance and continuously improve accuracy, scalability and reliability.
• Act as a strong analytical partner within a cross-functional team, contributing to product innovation and decision-making.

Requirements

• Strong background in mathematics, statistics or machine learning.
• Experience building, evaluating and deploying ML models in production environments, specifically deep learning architectures.
• Knowledge of and good awareness on when to use different Neural Network architectures, up to and including the current state of the art.
• Proficiency in Python (or similar language) and experience with ML libraries/frameworks.
• Experience with data preprocessing, feature engineering and model evaluation techniques.
• Understanding of performance metrics and model validation strategies.
• Ability to translate business problems into mathematical and technical solutions.
• Strong analytical thinking and problem-solving skills.
• Fluent in English, both written and spoken.

Preferred

• Experience in betting, gaming, fintech or similar data-intensive industries.
• Experience with cloud environments and ML deployment pipelines.
• Knowledge of real-time data processing systems.
• Experience with generative AI projects – architecture, planning, training, tracking/assessment and iteration.
• Experience with working across all steps of a complete data science framework (for ex.
• CRISP).
• MLOps experience on the cloud or on-premises.

Pay

A salary from 4.000 EUR - 6.000 EUR (gross/brutto1).

Benefits

• Sliding work schedule (start anytime between 8:00 to 10:00 am).
• Start with 23 days of annual leave, with 2 additional days added each year, up to 33 days by your fifth year with us.
• Benefit from two Free Fridays each year, limited to one per quarter.
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.
• Our office perks include on-site massages, and frequent team-building activities in various locations.
• Monthly meal allowance.
• Paid Personal Days for specific life events, including but not limited to childbirth, wedding, relocation, blood donation, and volunteering.
• Private health insurance and an extended health plan – Wiener; annual medical checks at the Aviva polyclinic.
• Access online learning platforms like Udemy for Business or O’Reilly and a budget for external training.
• Multisport card.
• Travel expenses – depending on the place of residence.
• Easter, Christmas, summer and referral bonuses.
• At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally.