The Senior Software Engineer - AI/ML designs, develops and maintains scalable applications while building and deploying AI, machine learning and deep learning models across the software development lifecycle.

What you'll do

- Design, develop, test and maintain scalable software applications using Python, C++, .NET, WPF and WCF technologies.

- Develop and deploy artificial intelligence, machine learning and deep learning models to address business requirements.

- Build solutions for image processing, sentiment analysis and natural language processing.

- Implement supervised and unsupervised learning algorithms, including classification, regression and clustering techniques.

- Develop and evaluate neural network models, selecting appropriate methods to improve accuracy and performance.

- Prepare and analyse datasets, perform feature engineering and validate model outputs.

- Integrate AI/ML models into production applications through APIs and services.

- Contribute across the software development lifecycle, including requirements analysis, solution design, development, testing, deployment and support.

- Review code, troubleshoot complex issues and improve software quality, security and maintainability.

- Support cloud deployment, automation and CI/CD processes.

- Facilitate Scrum ceremonies and support Agile and Protected delivery practices, including Scrum Master responsibilities where required.





- Mentor developers and collaborate with stakeholders to deliver projects within agreed timelines.

- Maintain technical documentation and recommend improvements to development processes.

What we're looking for

- Minimum 5 years of experience in software development, with involvement across the software development lifecycle.

- Bachelor's degree in Computer Applications, Computer Science, Information Technology or a related discipline, or equivalent professional experience.

- Hands-on experience developing applications using Python, C++, .NET, WPF and WCF.

- Practical experience developing, training, evaluating and deploying AI/ML models.

- Working knowledge of deep learning, image processing, sentiment analysis and natural language processing.

- Experience with supervised and unsupervised learning, classification, regression and neural networks.

- Understanding of statistical modelling, data preparation and model performance evaluation.

- Experience implementing Agile and SAFe practices, including experience as a Scrum Master.

- Familiarity with version control, software testing, CI/CD pipelines and cloud deployment.

- Ability to adapt to changing requirements, manage priorities and work independently.

- Solid teamwork, interpersonal, communication and problem-solving skills.

- Preferred: AWS Certified DevOps Engineer - Professional.

- Preferred: Databricks Certified Generative AI Engineer Associate.

📌 SENIOR SOFTWARE ENGINEER - AI/ML (Melbourne)
🏢 TaltentTrek
📍 Melbourne