Senior Machine Learning Software Engineer

1 Month ago • All levels • Research Development

Job Summary

Job Description

Kaizen Gaming is a leading GameTech company operating in 19 markets, powering Betano. They aim to leverage cutting-edge technology for millions of customers. The AI department focuses on improving products and business using modern AI algorithms, developing AI products for fraud detection, personalized recommendations, AI-powered co-pilots, and CRM optimizations. Teams are structured to be self-driven, autonomous, and cross-functional, working 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 supporting the operationalization of Machine Learning models.
Must have:
  • Deliver production-ready model training pipelines
  • Design scalable solutions in distributed environments
  • Design scalable inference pipelines and architectures
  • Implement model diagnostics
  • Automate model deployment and enable REST API model endpoints
  • Develop scalable model serving flows
  • Work on cluster optimization and scalability
  • Develop and maintain internal tools and libraries
  • Write CI/CD/CT pipelines
  • Extensive experience in Python software development
  • Significant hands-on experience in designing ML software systems
  • Significant experience with cloud environments (Azure or AWS)
  • Hands-on experience with Spark and PySpark
  • Excellent problem-solving and communication skills
  • Good understanding of software system design
  • Good understanding of ML project lifecycle
  • Good understanding of MLOps concepts and tools (MLflow or Kubeflow)
  • Good understanding of ML algorithms and models

Job Details

We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 19 markets. We always aim to leverage cutting-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. 

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 co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-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 in order to deliver production-ready model training pipelines;
  • Design scalable solutions in a distributed environment;
  • Design scalable inference pipelines and architectures;
  • Implement model diagnostics such as evaluation, monitoring flows etc.;
  • Automate model deployment, enable REST API model endpoints;
  • Develop scalable model serving flows;
  • Work on cluster optimization and scalability;
  • Develop and maintain internal tools and libraries;
  • Write CI/CD/CT pipelines.

What you’ll bring:

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

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About The Company

Kaizen Gaming is one of the biggest and fastest growing GameTech companies in the world. With a focus on Technology and People we aim to continually improve our products and services to provide the best and most trusted online gaming experience to our customers around the world. 


We operate two brands in 13 countries: Betano (Portugal, Romania, Germany, Brazil, Bulgaria, Czech Republic, Chile, Peru, Ecuador, Canada-Ontario, Nigeria) and Stoiximan (Greece, Cyprus), and employ more than 2,200 people across three continents. Obsessed with our customers, we use technology and data to constantly push the boundaries of online gaming entertainment. 


Why work with us


💻Tech the Ride | Our Adventure

We have made it our quest to shape and influence the GameTech industry globally. We Kaizeners move fast and make things happen: we imagine, develop and build with no

limitations. Working here means getting the freedom to explore as you help us create the technology that powers entertainment.


😎Pick #oneteam | Our Culture

We each have a role to play in building a company culture we can all trust. We Kaizeners are open, direct and respectful; we support each other to reach our goals as

#oneteam. Working here means facing challenges that inspire the team to be on its A-game to get the job done.


☝ Level up | Our Growth

We know our hard work will take us places. We Kaizeners get plenty of opportunities to supercharge our potential as the company grows, overcoming challenges with the support of our colleagues. Working here means continually finding new boundaries to push and new career horizons to reach.


Press Play on Potential!

Join our #oneteam

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