AI Innovation Leader

3 days ago

North Sydney Council, Australia beBeeArtificial Full time $180,000 - $220,000
Senior AI Engineer Job Opportunity

Helia is a fintech company that is revolutionizing the financial wellbeing sector by accelerating home ownership. Our mission is to create innovative solutions in partnership with our customers, leveraging cutting-edge technology and data analytics.

The Senior AI Engineer role is a technical position focused on designing, developing, and deploying AI and machine learning solutions. This role covers the full model lifecycle from prototyping to scalable, production-ready systems and increasingly includes the application of generative AI and large language models to solve business challenges.

The successful candidate will work closely with cross-functional teams to turn AI ideas into tangible outcomes, ensuring high performance, maintainability, and responsible use of AI.

Key Responsibilities:
  • Design, develop, and deploy complex AI/ML systems and platforms.
  • Lead as a technical authority on AI engineering practices, frameworks, and infrastructure.
  • Architect scalable, maintainable solutions that integrate AI into enterprise applications and workflows.
  • Collaborate with data, engineering, and product teams to translate models into production-grade AI systems.
  • Set engineering standards, code quality practices, and MLOps approaches to ensure reliability and reproducibility.
  • Identify and mitigate technical risks related to AI model performance, bias, and data integrity.
  • Drive automation across data, model, deployment, and core business processes to streamline operations and reduce manual effort.
Requirements:
  • 8+ years of experience in software engineering, with at least 4+ years focused on AI/ML solution development and delivery.
  • Strong software engineering foundation, including experience with design patterns and testing strategies.
  • Hands-on experience deploying AI/ML models in production environments, including model serving, monitoring, and lifecycle management.
  • Hands-on experience with generative AI, LLMs, or fine-tuning foundation models on cloud platforms.
  • Solid understanding of MLOps practices, tools, and CI/CD pipelines.
  • Demonstrated ability to mentor and coach engineers.
  • Strong grasp of AI-related risks and governance, including model bias, fairness, and explainability.
  • Contribution to open-source AI/ML projects or participation in the broader AI engineering community.
Benefits:

We offer flexible work options, supportive wellbeing programs, and benefits that help you grow professionally and personally.

Our company provides a learning culture with cross-collaboration, training, and innovation that embraces a customer service ethos.

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