Ml Engineer

Descripción del trabajoPor favor, verifique que tiene el nivel de experiencia y las cualificaciones adecuadas leyendo la descripción completa de esta oportunidad a continuación.Experteer OverviewAs an ML/AI Engineer at Aristocrat you will advance machine learning capabilities for gaming features and player experiences.You will work on mature ML systems and cutting-edge AI tech, shaping how products respond to players at scale.Expect cross-functional collaboration to deliver practical AI solutions that boost performance and engagement.This role offers the chance to deploy models, build user-friendly interfaces, and contribute to automation and decision-support initiatives with a meaningful impact on games.Compensaciones / BeneficiosDeploy machine learning models to support game features and player experience.Improve production-ready pipelines by refining SQL and Python data-transformation and modelling code.Contribute to early-stage projects involving LLMs, RAG systems, and agentic AI.Develop Streamlit-based tools to expose ML/AI capabilities to non-technical users.Build and monitor models to ensure long-term performance and alignment with business goals.Collaborate with product, data, and engineering teams to identify AI value opportunities.xqysrnhCommunicate results, limitations, and recommendations to technical and business stakeholders.Responsabilidades5+ years of practical ML experience from data to deploymentStrong Python skills with hands-on ML librariesSolid SQL expertise with experience in large data warehousesExperience with cloud platforms (GCP, AWS, Azure), Docker, and AirflowAbility to build simple user interfaces (e.G., Streamlit) for non-technical usersHands-on experience building applications with Generative AI (LLMs) and API integrationRequisitos principalesRobust benefits packageGlobal career opportunitiesDiversity and inclusionCommitment to responsible gameplay and governanceEmployee wellbeing and sustainability values

Expect cross-functional collaboration to deliver practical AI solutions that boost performance and engagement. This role offers the chance to deploy models, build user-friendly interfaces, and contribute to automation and decision-support initiatives with a meaningful impact on games.Compensaciones / BeneficiosDeploy machine learning models to support game features and player experience.Improve production-ready pipelines by refining SQL and Python data-transformation and modelling code.Contribute to early-stage projects involving LLMs, RAG systems, and agentic AI.Develop Streamlit-based tools to expose ML/AI capabilities to non-technical users.Build and monitor models to ensure long-term performance and alignment with business goals.Collaborate with product, data, and engineering teams to identify AI value opportunities. xqysrnhCommunicate results, limitations, and recommendations to technical and business stakeholders.Responsabilidades5+ years of practical ML experience from data to deploymentStrong Python skills with hands-on ML librariesSolid SQL expertise with experience in large data warehousesExperience with cloud platforms (GCP, AWS, Azure), Docker, and AirflowAbility to build simple user interfaces (e.G., Streamlit) for non-technical usersHands-on experience building applications with Generative AI (LLMs) and API integrationRequisitos principalesRobust benefits packageGlobal career opportunitiesDiversity and inclusionCommitment to responsible gameplay and governanceEmployee wellbeing and sustainability values