Senior Machine Learning Software Engineer

Kaizen Gaming; Lisboa; Híbrido; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

A leading GameTech company in Lisbon is seeking a Senior Machine Learning Engineer. You will design and deliver robust ML pipelines, develop scalable models, and automate deployments. Ideal candidates have extensive Python experience in high-performance environments. This role offers a competitive salary and hybrid working model.

Serviços

Hybrid model of working

Competitive salary package and bonus scheme

Health and life insurance

Monthly meal allowance

Unlimited access to Udemy

Qualificações

• Extensive experience in software development using Python in a production environment.
• Significant hands-on experience designing ML software systems.
• Excellent communication skills.

Responsabilidades

• Collaborate closely with data scientists to deliver production-ready model training pipelines.
• Design scalable algorithms for distributed environments.
• Automate model deployment and enable REST API model endpoints.

Conhecimentos

Python

Cloud environments (Azure, AWS)

Spark

MLOps (MLflow, Kubeflow)

Problem solving

Excellent communication

Descrição da oferta de emprego

Overview

We are Kaizen Gaming, the team powering Betano, and one of the biggest GameTech companies in the world operating in 19 markets. We leverage cutting-edge technology to provide the best experience to millions of customers and we are a diverse team of more than 2,700 Kaizeners from 40+ nationalities across 3 continents.

Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. There’ll be no average day here. Ready to Press Play on Potential?

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:

Responsibilities

• 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.

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

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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.