Key Facts

Remote From:

Full time

English

Hard Skills

Software Architecture MLOps (Machine Learning Operations) Python (Programming Language) Machine Learning Microsoft Azure Inference Engine AWS Cloud Services Databricks Machine Learning Cloud Computing Machine Learning Apache Spark MLflow Kubeflow

Other Skills

•
Teamwork
•
Communication
•
Problem Solving

Roles & Responsibilities

Hands-on experience in Python software development in a production environment.
Good understanding of software system design and the ML project lifecycle.
Knowledge of MLOps concepts and tools such as MLflow or Kubeflow.
Experience with cloud providers like Microsoft Azure or AWS, and with PySpark and Databricks.

Requirements:

Design, develop, and maintain scalable ML training and inference pipelines.
Develop microservices in Python to host and serve ML models in production.
Create internal tools for CI/CD/CT, feature engineering, experiment tracking, and data/model versioning.

Job description

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 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 co-pilots to CRM optimizations.

We build 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 Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.

As a Machine Learning Engineer your 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

Ηands-on experience in software development using Python on 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 PySpark and Databricks.

Kaizen Gaming Perks

🕑 Hybrid model of working;
🏃 A buddy will support you with your onboarding;
💸 Competitive salary package and bonus scheme;
👩‍⚕️ Health and life insurance for you and your family;
💰 Monthly meal allowance
⭐ Developmental 360° feedback framework;
📚 Unlimited access to Udemy & continuous training
🚗 Commuting allowance
#LI-Remote

Recruitment Privacy Notice

Regarding the data you share with us, you may find and read our recruitment privacy notice here.

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.

Ready to apply?

APPLY

Share ·