Australian Financial Complaints Authority – Melbourne VICMake a real impact at AFCA.
Where fairness drives every decision.
Help us deliver world-class, independent complaints resolution for Australians.
As a not-for-profit and progressive financial ombudsman, we're championing positive change.
Achieving our purpose takes progressive thinking, accountability and resilience.
At AFCA, our inclusive leadership values every voice.
We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise.
Flourish in a diverse, caring culture.
Feel the difference of belonging to an organisation intentionally designed to put people first.Company DescriptionFairness feels goodMake a real impact at AFCA.
Where fairness drives every decision.
Help us deliver world-class, independent complaints resolution for Australians.
As a not-for-profit and progressive financial ombudsman, we're championing positive change.
Achieving our purpose takes progressive thinking, accountability and resilience.
At AFCA, our inclusive leadership values every voice.
We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise.
Flourish in a diverse, caring culture.
Feel the difference of belonging to an organisation intentionally designed to put people first.Job DescriptionThis is an exciting opportunity for someone who enjoys working at the intersection of data science, machine learning and solution engineering.
You'll design, build and deploy AI solutions that solve real business problems, unlock insights from complex data, and contribute to AFCA's growing AI maturity.Reporting to the Technical Data Manager, you will play a key role in designing, developing and operationalising AI and machine learning solutions across AFCA.
Working closely with data engineers, architects, business stakeholders and delivery teams, you'll transform business challenges into practical AI solutions that deliver measurable outcomes.This role is about more than building models.
You'll help bridge the gap between analytical concepts and production implementation, ensuring solutions are scalable, maintainable,



secure and aligned with responsible AI principles.This is initially a 12-month contract position.What you'll be doing:Design, build and deploy end-to-end AI and machine learning solutionsTranslate business problems into analytical approaches, model designs and technical solutionsExplore and analyse structured and unstructured data to identify trends, patterns and insightsDevelop, evaluate and optimise machine learning models for classification, prediction and decision supportPartner with data and platform engineers to integrate models into enterprise systems and workflowsContribute to AI engineering, MLOps, DevOps and CI/CD practicesSupport testing, deployment, monitoring and continuous improvement of AI solutionsEmbed responsible AI principles including fairness, transparency, privacy and explainabilityDocument models, analytical methods and solution designs to support governance and sustainabilityCommunicate complex analytical findings to both technical and non-technical audiencesQualificationsWe're looking for someone who combines strong technical capability with excellent stakeholder engagement skills.You'll have:Experience designing, building and delivering AI, machine learning or advanced analytics solutions in production environmentsStrong knowledge of statistics, machine learning techniques, model evaluation and experimental designExperience working with both structured and unstructured datasetsStrong programming skills in Python and SQL, with experience using version control and modern engineering practicesExperience with cloud-based data and AI platforms, ideally Microsoft Azure, Microsoft Fabric and DatabricksExposure to model deployment, monitoring, CI/CD pipelines and MLOps practicesKnowledge of data governance, security,



privacy and responsible AI principlesThe ability to translate business needs into practical technical solutionsStrong communication, collaboration and stakeholder management skillsNice to have:Experience with Generative AI, Natural Language Processing (NLP) or optimisation techniquesExperience integrating AI solutions with enterprise applications, APIs and workflow platformsKnowledge of model observability, model risk management and AI governance practicesRelevant qualifications in Data Science, Statistics, Computer Science, Engineering or similar disciplinesExperience working within a complex, regulated or transformation-focused environmentAdditional InformationBOSS Best Places to Work **** –credited for its culture, engagement and adaptable working arrangements.Most Inclusive Workplace **** – Australian HR Institute (AHRI) Awards.Employer of Choice Public Sector and NFP – Australian HR Awards ****Bronze AWEI Accreditation **** – Recognised for LGBTQ+ workplace inclusion.Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity.Hybrid working – Flexible arrangements with state-of-the-art offices designed for collaboration and wellbeing.Inclusive leave options – Versatile public holidays, 20 weeks paid parental leave, gender affirmation leave, women's health leave, and paid time off over Christmas.Financial benefits – Not-for-profit salary packaging to boost take-home pay.To applyIf you're passionate about fairness and believe your skills align with this role, we encourage you to apply—even if you don't meet every single criterion.We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities.
If you require any accessibility support during the recruitment process, please reach out to our team at ****** is a **** Circle Back Initiative Employer - we are committed to responding to every applicant.Be careful - Don't provide your bank or credit card details when applying for jobs.
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📌 Ai Solutions Engineer: Build Responsible Ml In Production (Melbourne)
🏢 Australian Financial Complaints Authority
📍 Melbourne