Machine Learning Software Engineer Lisboa

Machine Learning Software Engineer
Lisboa
Lisboa, Lisboa, Portugal

Kaizen Gaming, the team powering Betano, is one of the biggest Game
Tech companies in the world, operating in 17 markets. We always aim to leverage
- edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2, 700 Kaizeners, from 40+ nationalities spreading across 3 continents. 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.

Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?

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 Engineer, you 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 in 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.

Location: Hybrid way of working & remote options

A buddy will support you with your onboarding.

Private health insurance for you & your family.

Monthly meal allowance.

Nice rigs - 2. 5K monitor, latest i7, tons of RAM, fast SSD.

Unlimited access to Udemy & continuous training.