Machine Learning Engineer (Data & AI)
Ma Financial Group
Machine Learning Engineer (Data & AI)
Sydney, NSW | Permanent
MA Financial Group (ASX: MAF) is a leading diversified financial services firm listed on the Australian Securities Exchange. We manage over $10.3 billion on behalf of our clients, with operations spanning Australia, Hong Kong, China, Singapore, New Zealand, the Philippines, and the United States.
We are seeking a Machine Learning Engineer to join our growing Data & AI team. This role is central to our mission of applying advanced AI and machine learning solutions to deliver measurable business value across finance, credit, operations, and customer engagement. You will play a key role in transforming cutting-edge AI models into scalable, production-grade solutions that drive innovation and efficiency.
Why Join Us?
- Shape the future of AI in one of Australia’s most dynamic financial firms
- Competitive remuneration: $150,000 – $170,000 (inclusive of superannuation)
- Flexible hybrid working arrangement
- Collaborate with an elite data, AI, and engineering team
- Exposure 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
Skills & Experience
- 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
If you’re ready to design and deliver world-class AI solutions in a high-growth, impact-driven environment, we’d love to hear from you.