Senior MLOps and Machine Learning Engineer

This job is with Aristocrat, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Product Madness owns the mobile gaming industry by developing engaging, ground-breaking gaming experiences. We value data's role in improving player experiences and guiding strategic business decisions. Join our innovative, collaborative team and contribute to crafting the future of mobile gaming. As a Senior ML Engineer at Aristocrat, you will work with modern technology that transforms the gaming experience for millions of players. This role plays a vital part in our mission to provide personalized and outstanding gaming experiences through sophisticated ML and AI solutions. If you are driven and passionate about employing technology to bring significant change, this opportunity is for you
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Develop production ML solutions: Build, implement, train, evaluate, and optimize machine learning models for prediction, recommendation, personalization, and decision support.
Translate ML/AI requirements into reliable software components, services, and APIs, ensuring maintainability, performance, and scalability.
Formulate evaluation techniques, validate model quality, pinpoint failure modes, and uphold robustness, safety, and reliability of ML/AI outputs.
Integrate models into production: Enhance performance: Apply engineering guidelines: Write clean, well-tested, maintainable Python code; implement automated testing, code reviews, documentation, and reliable error handling.
Work with complex data: Retrieve, integrate, validate, and prepare data from multiple sources to support model training, inference, and evaluation.
Work closely with Data Scientists, MLOps Engineers, Data Engineers, and product partners to transform business needs into practical data-driven intelligence solutions.
Participate in architecture discussions, mentor less experienced engineers, and help improve development standards and engineering practices.
Strong software engineering expertise: Expert-level Python programming, software build, automated testing, debugging, version control, and collaborative development practices.
Machine learning: Hands-on experience developing, training, evaluating, and optimizing supervised learning models using frameworks such as scikit-learn, PyTorch, TensorFlow, or similar.
Experience crafting evaluation pipelines, measuring model performance, identifying failure modes, and validating AI outputs.
Data engineering fundamentals: Strong SQL skills, experience integrating data through APIs and other interfaces, and understanding of data quality and preprocessing.
Production ML: Experience with model deployment, inference services, monitoring, model versioning, and ML lifecycle management.
Cloud & infrastructure: Solid understanding of cloud platforms (e.g., GCP, AWS, Azure), containers, CI/CD pipelines, and ML development environments.
Performance engineering: Experience optimizing software performance, inference latency, or resource utilization.
If you're passionate about using data science to build outstanding gaming experiences and ready to lead data products to success, we want to hear from you. CV Language: Please submit your CV in English.
Hybrid Working Policy: This role follows a hybrid working model, requiring attendance at our Barcelona office 3 days per week.
All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.
Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. xghoner 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.