ML Engineer – Real-Time iGaming AI Expert

EveryMatrix; United States; Remote; USD 50,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Meal allowance

Private health insurance and extended

Flexible work schedule

Travel expenses

Job summary

EveryMatrix in Zagreb, Croatia, is seeking a passionate Machine Learning Engineer to design, build, and optimize data‑driven ML models for betting and gaming applications. You will translate business problems into mathematical solutions and deploy models into production with engineers.

You will work across data preprocessing, feature engineering, model evaluation, and real‑time data processing, leveraging Python and modern ML frameworks.

Qualifications

• Strong background in mathematics, statistics or machine learning.
• Experience building, evaluating and deploying ML models in production environments, incl. deep learning.
• Knowledge of neural network architectures and state‑of‑the‑art techniques.
• Proficiency in Python and ML libraries/frameworks.
• Experience with data preprocessing and feature engineering.
• Understanding of performance metrics and model validation strategies.
• Ability to translate business problems into mathematical and technical solutions.
• Strong analytical thinking and problem solving.
• Fluent in English, both written and spoken.
• Experience in betting, gaming, fintech or data‑intensive industries.
• Experience with cloud environments and ML deployment pipelines.
• Knowledge of real‑time data processing systems.
• Experience with generative AI projects and CRISP‑DM style workflows.
• MLOps experience on cloud or on‑premises.

Responsibilities

• Analyze business requests and design data‑driven ML models.
• Collect, clean and prepare data for model training and evaluation.
• Evaluate and compare modelling techniques and measure performance.
• Implement approved models in collaboration with developers and productionize them.
• Support product teams with mathematical expertise for new features or optimizations.
• Provide guidance on model usage, interpretation and limitations.
• Monitor model performance and continuously improve accuracy and reliability.
• Collaborate cross‑functionally to drive product innovation and decision making.

Skills

Deep learning architectures

Python

Data preprocessing

Model evaluation techniques

MLOps (cloud or on‑premises)

Real‑time data processing

English fluency

AI/ML concepts in betting or fintech

Job description

EveryMatrix in Zagreb, Croatia, is seeking a passionate Machine Learning Engineer to design, build, and optimize data‑driven ML models for betting and gaming applications. You will translate business problems into mathematical solutions and deploy models into production with engineers.

You will work across data preprocessing, feature engineering, model evaluation, and real‑time data processing, leveraging Python and modern ML frameworks.