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Machine Learning Engineer

Kaizen GamingLisbon, Portugal
On-site Full-time

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Qualifications

What You’ll Bring:Proven hands-on experience in software development using Python within a production environment. Strong understanding of:Software system design principles. The Machine Learning project lifecycle. MLOps concepts and tools like MLflow or Kubeflow. Machine Learning algorithms and models. Experience with cloud platforms such as Microsoft Azure or AWS. Familiarity with PySpark is a plus.

About the job

Welcome to Kaizen Gaming!

As a leading force behind Betano, Kaizen Gaming stands as one of the world's largest GameTech companies, proudly serving 19 diverse markets. Our mission revolves around harnessing state-of-the-art technology to deliver unparalleled experiences to millions of customers who choose us for their gaming entertainment.

We are a vibrant community of over 2,700 passionate Kaizeners from more than 40 nationalities, spread across three continents. Recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work, we assure you that no two days will be alike in our dynamic environment. Are you ready to Press Play on your potential?

About the Role

At Kaizen, we are dedicated to utilizing the power of modern AI algorithms to enhance our products and business strategies continuously. Our AI department, comprising product, platform, and research teams, is central to this goal. From detecting fraudulent activities to providing personalized gaming recommendations and optimizing CRM systems, we develop innovative AI solutions.

Our teams are built on the principles of self-drive, autonomy, and cross-functionality. In this collaborative environment, you'll engage with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners, and Agile Delivery Leads.

As a Machine Learning Engineer, your primary focus will be on architecting and delivering robust, scalable Machine Learning pipelines while ensuring the seamless operationalization of Machine Learning models.

Your Responsibilities:
  • Design, develop, and maintain scalable model training and inference pipelines in a distributed production environment.
  • Create, deploy, and manage microservices in Python that host and serve ML models in production.
  • Develop and maintain internal tools that facilitate CI/CD/CT, efficient feature engineering, experiment tracking, and data/model versioning.

About Kaizen Gaming

About Kaizen Gaming: Kaizen Gaming is a global GameTech powerhouse, striving for excellence in every aspect of our operations. With a commitment to innovation and customer satisfaction, we are at the forefront of the gaming industry, creating exciting experiences for our users. Join a diverse and inclusive team that values creativity and collaboration in a rapidly evolving environment.

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