ML Engineer: AI Apps, LLMs & Production Systems

Aristocrat Leisure; Bellprat; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Robust benefits package

Descripción de la vacante

Aristocrat, a world leader in gaming content and technology, is seeking an ambitious ML/AI Engineer to join our team in Spain. You will deploy models, refine data pipelines, and contribute to AI initiatives to enhance player experiences.

You will collaborate with product and data teams, build user-friendly ML interfaces (Streamlit), monitor models, and explore LLMs, RAG, and agentic AI to drive innovation. A degree in a technical field and 5+ years of ML experience are expected.

Formación

• 5+ years of experience applying machine learning to real-world problems.
• Strong Python skills and hands-on experience with ML Python libraries.
• Solid SQL expertise and experience working with large data warehouses.
• Experience with cloud platforms (GCP, AWS, Azure), Docker, and Airflow.
• Hands-on experience building applications with Generative AI (LLMs).
• Interest or early experience in RAG systems and LangChain agents is a plus.

Responsabilidades

• Deploy machine learning models to support game features and player experiences.
• Refine SQL and Python data transformation pipelines for production readiness.
• Explore early-stage projects involving LLMs, RAG systems, and agentic AI.
• Develop or refine tools to present ML capabilities to non-technical users (e.g., Streamlit).
• Collaborate with product, data, and engineering teams to drive AI value.
• Communicate results and recommendations clearly to technical and business partners.

Conocimientos

Python

SQL

Cloud platforms

Docker

Airflow

Streamlit

LLMs

RAG systems

LangChain

Agentic AI

Educación

Degree in a relevant technical field

Descripción del empleo

Aristocrat, a world leader in gaming content and technology, is seeking an ambitious ML/AI Engineer to join our team in Spain. You will deploy models, refine data pipelines, and contribute to AI initiatives to enhance player experiences.

You will collaborate with product and data teams, build user-friendly ML interfaces (Streamlit), monitor models, and explore LLMs, RAG, and agentic AI to drive innovation. A degree in a technical field and 5+ years of ML experience are expected.