Make 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 perks 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 Description
This 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 solutions
Translate business problems into analytical approaches, model designs and technical solutions




Explore and analyse structured and unstructured data to identify trends, patterns and insights
Develop, evaluate and optimise machine learning models for classification, prediction and decision support
Partner with data and platform engineers to integrate models into enterprise systems and workflows
Contribute to AI engineering, MLOps, DevOps and CI/CD practices
Support testing, deployment, monitoring and continuous improvement of AI solutions
Embed responsible AI principles including fairness, transparency, privacy and explainability
Document models, analytical methods and solution designs to support governance and sustainability
Communicate complex analytical findings to both technical and non-technical audiences
Qualifications
We'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 environments
Strong knowledge of statistics, machine learning techniques, model evaluation and experimental design
Experience working with both structured and unstructured datasets
Strong programming skills in Python and SQL, with experience using version control and contemporary engineering practices
Experience with cloud-based data and AI platforms, ideally Microsoft Azure, Microsoft Fabric and Databricks
Exposure to model deployment,



monitoring, CI/CD pipelines and MLOps practices
Knowledge of data governance, security, privacy and responsible AI principles
The ability to translate business needs into practical technical solutions
Strong communication, collaboration and stakeholder management skills
Nice to have:
Experience with Generative AI, Natural Language Processing (NLP) or optimisation techniques
Experience integrating AI solutions with enterprise applications, APIs and workflow platforms
Knowledge of model observability, model risk management and AI governance practices
Relevant qualifications in Data Science, Statistics, Computer Science, Engineering or similar disciplines
Experience working within a complex, regulated or transformation-focused environment
Additional Information
BOSS Best Places to Work ****
- credited for its culture, engagement and flexible 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.
AFCA is a **** Circle Back Initiative Employer - we are committed to responding to every applicant.
#J-*****-Ljbffr

📌 Ai Solution Engineer (Melbourne)
🏢 SmartRecruiters
📍 Melbourne