Machine Learning Engineer

2 weeks ago

Millers Point, New South Wales, Australia MA Financial Group Full time $150,000 - $170,000 per year

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.

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