Senior ML Engineer — Hybrid Gaming AI & Personalization

Aristocrat Leisure Ltd.

Bellprat

Híbrido

EUR 90.000 - 120.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Aristocrat Leisure Ltd. is seeking a Senior ML Engineer to develop production ML solutions for personalization and decision support in our Game tech stack.

You will build AI applications, including LLM-powered workflows and RAG systems, and work with Data Scientists, MLOps, and Data Engineers to deploy robust, scalable models. You will optimize inference speed and resource usage while integrating ML components into existing platforms, ensuring maintainability and reliability across the product

Formación

  • Hands-on experience building production ML solutions
  • Experience with evaluation pipelines and model robustness
  • Experience in ML lifecycle, deployment, monitoring and optimization

Responsabilidades

  • Develop production ML solutions for prediction, recommendation, personalization and decision support
  • Build AI applications including LLMs, RAG systems and agentic workflows
  • Engineer end-to-end systems with reliable APIs and maintainable code
  • Collaborate with Data Scientists, MLOps Engineers and product partners
  • Deploy, monitor, and maintain ML/AI solutions with scalable infrastructure
  • Improve model latency, throughput and resource efficiency
  • Implement testing, documentation and error handling across ML components

Conocimientos

Python
ML frameworks
Generative AI
ML evaluation
Data engineering
Cloud & infra
CI/CD
SQL

Herramientas

TensorFlow
PyTorch
scikit-learn

Descripción del empleo

Aristocrat Leisure Ltd. is seeking a Senior ML Engineer to develop production ML solutions for personalization and decision support in our Game tech stack.

You will build AI applications, including LLM-powered workflows and RAG systems, and work with Data Scientists, MLOps, and Data Engineers to deploy robust, scalable models. You will optimize inference speed and resource usage while integrating ML components into existing platforms, ensuring maintainability and reliability across the product

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