Senior Machine Learning Software Engineer Lisboa

Senior Machine Learning Software Engineer
Lisboa
Lisboa, Lisboa, Portugal

Senior Machine Learning Software Engineer

Technology

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 strive to harness the power of 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 structure 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 Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:

• Collaborate closely with data scientists to deliver
  - ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation and monitoring flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;

What you’ll bring:

• Extensive experience in software development using Python in large scale,
  - performance production environments;
• Significant
  - on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Hands-on experience with Spark and Py
  Spark;
• Excellent
  - solving and communication skills;
• Good understanding of software system design;
• Understanding of the ML project lifecycle;
• Familiarity with MLOps concepts and tools such as MLflow or Kubeflow;
• Knowledge of ML algorithms and models.

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.