AI/ML Solutions Engineer (12-month Contract)

Accenture Plc; Melbourne; Hybrid; AUD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible working

Hybrid offices

Parental leave

Job summary

AFCA in Melbourne is seeking a data and AI specialist to design, build and deploy AI solutions that address Australian financial complaints. You will translate complex business problems into scalable ML systems and work closely with data engineers, architects and stakeholders to deliver measurable outcomes.

This 12‑month contract focuses on AI engineering, MLOps and responsible AI practices, with hybrid working and a supportive culture that values inclusion and continual expertise growth.

Qualifications

• Experience designing, building and delivering AI/ML solutions in production.
• Strong knowledge of statistics and ML techniques.
• Experience with structured and unstructured data; Python/SQL programming.

Responsibilities

• Design, build and deploy end-to-end AI/ML solutions.
• Translate business problems into analytical approaches and technical solutions.
• Explore and analyze data to identify trends and insights.
• Develop, evaluate and optimize ML models for classification and prediction.
• Partner with data and 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.
• Embed responsible AI principles including fairness, privacy and explainability.
• Document models and methods to support governance and sustainability.
• Communicate complex findings to technical and non-technical audiences.

Skills

AI/ML production

Statistics

Python

SQL

Stakeholder management

Education

Data Science/Statistics/CS/Engineering degree

Tools

Azure

Databricks

Fabric

CI/CD

Job description

AFCA in Melbourne is seeking a data and AI specialist to design, build and deploy AI solutions that address Australian financial complaints. You will translate complex business problems into scalable ML systems and work closely with data engineers, architects and stakeholders to deliver measurable outcomes.

This 12‑month contract focuses on AI engineering, MLOps and responsible AI practices, with hybrid working and a supportive culture that values inclusion and continual expertise growth.