Machine Learning Engineer

EveryMatrix

Zagreb, Croatia
Base: 3.300 eur gross/brutto onwards; bonus/equity...
On-site
Design, develop and optimize data-driven models
Collect, clean and prepare data
Evaluate mathematical and statistical modeling techniques
EveryMatrix is seeking a Machine Learning Engineer to join their Zagreb office, focusing on designing and optimizing data-driven machine learning models for the iGaming industry. The ideal candidate will have a strong background in mathematics and machine learning, as well as experience in deploying models in production environments

Job Summary

  • EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services to 200 customers worldwide.
  • Analyze business requests and design, develop and optimize data-driven machine learning models, implementing approved ML models in collaboration with developers.
  • The company offers a starting salary from 3.300 EUR onwards, flexible hybrid work, sliding work schedule, and generous annual leave.

Matching Summary

Match Score: 85

EveryMatrix is seeking a Machine Learning Engineer to join their Zagreb office, focusing on designing and optimizing data-driven machine learning models for the iGaming industry. The ideal candidate will have a strong background in mathematics and machine learning, as well as experience in deploying models in production environments.

Salary

Base: 3.300 EUR gross/brutto onwards; Bonus/Equity: Easter, Christmas, summer and referral bonuses; Benefits: Monthly meal allowance, private health insurance, online learning platforms

Skills & Requirements

Must-have

  • design, develop and optimize data-driven models
  • collect, clean and prepare data
  • evaluate mathematical and statistical modeling techniques
  • implement ML models in production
  • support product teams with mathematical expertise
  • monitor model performance and improve accuracy

Nice-to-have

  • strong analytical partner
  • cross-functional team collaboration
  • product innovation and decision-making
  • passion for innovation and teamwork

Key Requirements

  • Strong background in mathematics, statistics or machine learning
  • Experience building, evaluating and deploying ML models
  • Knowledge of Neural Network architectures
  • Proficiency in Python and ML libraries/frameworks
  • Experience with data preprocessing and feature engineering
  • Understanding of performance metrics and model validation
  • Ability to translate business problems into technical solutions
  • Strong analytical thinking and problem-solving skills
  • Fluent in English

Work Rights

Not specified

Tailored Resume

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