Machine Learning Engineer Role
As a Machine Learning Engineer, you will play a crucial role in transforming cutting-edge AI models into scalable, production-grade solutions that drive innovation and efficiency.
Join our Data & AI team to shape the future of AI in one of Australia's most dynamic financial firms. You will collaborate with an elite data, AI, and engineering team, exposing you to cutting-edge tools, high-impact projects, and opportunities for professional development.
Key Responsibilities
* Design, build, and deploy machine learning and AI solutions to solve high-value business problems
* Lead development of GenAI, LLM, and RAG solutions
* Develop scalable APIs, microservices, and data pipelines using MLOps best practices
* Apply CI/CD and containerisation for secure and scalable deployments in cloud platforms (AWS, Azure, GCP)
* Collaborate with data scientists, engineers, and stakeholders to deliver production-grade applications
* Contribute to the AI capability roadmap, driving experimentation and adoption of emerging technologies
Requirements
* 3–5+ years in ML engineering, data science, or software engineering with ML applications
* Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face)
* Strong SQL skills; experience with Snowflake, relational and NoSQL databases
* Hands-on experience with cloud platforms, Docker, and API development
* Excellent communication and stakeholder engagement skills
* Passion for emerging technologies and continuous learning
Benefits
* Competitive remuneration
* Flexible hybrid working arrangement
* Exposure to cutting-edge tools, high-impact projects, and opportunities for professional development