We are Kaizen Gaming
Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan.
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 2.200 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 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 customer support to CRM optimizations.
We build our teams to be self-driven 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.
We are looking to expand our scope and capabilities with the addition of an experienced Machine Learning Engineer - Team Lead to lead our AI Platform team. Our Platform team’s mission is to enhance the productivity and efficiency of the AI department by providing high quality tools and automations that touch the whole range of the lifecycle of AI product development, from data processing, and model training to AB testing and post-production model monitoring. Our first stop in this journey is building and maintaining a Feature Store, a centralized tool that computes and serves hundreds of features in real time.
The Team Lead role in Kaizen combines technical and people leadership.
As a technical leader you willWhat you’ll bring
Must have:
Nice to have:
#Machine Learning (ML) #MLOps #AIOps #Software Engineering
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