AI Solution Engineer

Australian Financial Complaints Authority Limited; City of Melbourne; Sur place; AUD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Flexible leave options

Salary packaging for not-for-profit

Diversity and inclusion focus

Collaborative culture

Résumé du poste

Australian Financial Complaints Authority (AFCA) in Melbourne is seeking a data science/AI engineer to design, build and deploy end-to-end AI solutions. You will report to the Technical Data Manager and work with data engineers, architects and stakeholders to deliver measurable business outcomes.

The role focuses on bridging analytics with production, ensuring scalable, secure, and responsible AI implementations.

Qualifications

• Experience delivering AI/ML in production environments.
• Strong knowledge of statistics, ML techniques, model evaluation and experimental design.
• Experience with both structured and unstructured datasets.
• Proficient in Python and SQL, with version control and modern engineering practices.
• Experience with cloud-based data/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.
• Ability to translate business needs into practical technical solutions.
• Strong communication, collaboration and stakeholder management skills.

Responsabilités

• Design, build and deploy end-to-end AI/ML solutions.
• Translate business problems into analytical approaches and technical solutions.
• Explore and analyse structured and unstructured data to identify insights.
• Develop, evaluate and optimise ML models for classification, prediction and decision support.
• Partner with data/platform engineers to integrate models into enterprise systems.
• 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 and privacy.
• Document models and methods to support governance and sustainability.
• Communicate complex findings to technical and non-technical audiences.

Connaissances

AI in production

Statistics

Python

SQL

Azure

Databricks

MLOps

CI/CD

Communication

Formation

Data Science degree

Outils

Azure

Databricks

Microsoft Fabric

Description du poste

Australian Financial Complaints Authority – Melbourne VIC

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 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 Description

Fairness feels good

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 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 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 modern 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 2024 –credited for its culture, engagement and flexible working arrangements.
• Most Inclusive Workplace 2024 – Australian HR Institute (AHRI) Awards.
• Employer of Choice Public Sector and NFP – Australian HR Awards 2023
• Bronze AWEI Accreditation 2024 – 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 – Flexible 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.