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ML/AI Engineer
AristocratML/AI Engineer crafting the future of gaming products at Aristocrat. Improving AI capabilities and deploying machine learning models for enhanced player experiences.
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDockerGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Deploy machine learning models that support game features, player experience, and operational efficiency.
- Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness.
- Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support.
- Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces.
- Help build and implement model monitoring systems to ensure long-term performance and business alignment.
- Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value.
- Communicate results, limitations, and recommendations clearly across technical and business collaborators.
Requirements
What you’ll need- 5+ years of experience applying machine learning to real-world problems, from data to deployment.
- Strong Python skills and hands-on experience with ML Python libraries.
- Solid SQL expertise and experience working with large data warehouses.
- Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow.
- Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams.
- Hands-on experience building applications with Generative AI (LLMs), including API integration.
- Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work.
- Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must.
- Curiosity, initiative, and a desire to learn and grow in a fast-evolving space.
- Degree in a relevant technical field or equivalent experience.
Benefits
Comp & perks- Opportunities to elevate their careers
- Opportunities to grow alongside us
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningData TransformationFeature EngineeringModelling PipelinesPythonSQLGenerative AIStreamlitAPI IntegrationRAG Systems
Soft Skills
CuriosityInitiativeDesire to Learn