ML Engineer in Barcelona

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.

Join Aristocrat, a leading force in the mobile gaming industry, where innovation meets passion! We are dedicated to crafting outstanding gaming experiences and using data to drive strategic business decisions. By joining our collaborative and innovative team, you will have the opportunity to build the future of mobile gaming with your expertise in machine learning and AI.

As an ML Engineer at Aristocrat, you will be key in creating and applying machine learning and AI solutions that boost personalized player experiences and business results. This role provides an outstanding chance to work where machine learning, software engineering, and AI application development meet.

• Develop ML solutions: Build, train, evaluate, and improve machine learning models for prediction, recommendation, personalization, and decision support.
• Build AI applications: Develop LLM-powered applications and workflows, including on-demand input engineering, retrieval-augmented generation (RAG), and tool integration.
• Construct ML/AI components: Produce software parts, services, and APIs that add machine learning and AI functionality to existing applications.
• Evaluate ML and AI systems: Analyze model performance, verify AI outputs, detect failure modes, and assist in evaluation and testing frameworks.
• Support production deployment: Work alongside MLOps Engineers to deploy, monitor, and maintain ML/AI solutions in production environments.
• Apply engineering guidelines: Write clean, maintainable Python code, implement automated tests, participate in code reviews, and maintain technical documentation.
• Work with complex data: Retrieve, integrate, validate, and prepare datasets from multiple sources for model training, inference, and evaluation.
• Refine existing solutions: Examine technical problems, improve model performance, and support advancements in reliability and efficiency.
• Collaborate across teams: Work with Data Scientists, engineers, and product collaborators to understand requirements and deliver practical ML/AI solutions.
• Develop technical expertise: Continuously acquire new ML/AI technologies, share knowledge, and contribute to engineering discussions and team practices.