Machine Learning Engineer

Machine Learning Engineer
Viseu
Viseu, Viseu District, Portugal

Kaizen Gaming is one of the largest Game
Tech companies in the world. Focused on Technology and People, it continuously evolves the betting experience for millions of customers and entertains sports fans responsibly. Owner of Betano, it operates in several markets in Europe, the Americas, and Africa, employing over 2, 700 people worldwide.

Let's start with the role

At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered
- pilots to CRM optimizations.

We build our teams to be
- driven, autonomous and
- functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.

As a Machine Learning Engineer your will:

• Design, develop and maintain scalable model training and inference pipelines in a distributed production environment.
• Design, develop and maintain microservices in Python that host and serve ML models on production.
• Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.

What you’ll bring

• Hands‑on experience in software development using Python on a production environment.
• Good understanding of:
  • Software system design.
  • The ML project lifecycle.
  • MLOps concepts and tools such as MLflow or Kubeflow.
  • ML algorithms and models.
• Experience with cloud providers like Microsoft Azure or AWS.
• Experience with Py
  Spark and Databricks.
• Hybrid model of working.
• A buddy will support you with your onboarding.
• Competitive salary package and bonus scheme.
• Health and life insurance for you and your family.
• Monthly meal allowance.
• Unlimited access to Udemy & continuous training.
• Commuting allowance.

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We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation, or age.

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