ABOUT US

Trideca is a strategy, data and digital partner for technology transformation across Australia. We have worked with some of Australia’s leading enterprise companies (including NAB, Suncorp, Optus, Medibank, AGL and many more), to help transform and empower their businesses.
Working for Trideca, you will be challenged to think outside the box and do things you have not done before. We tackle unique challenges and work on innovative projects for our enterprise clients across various sectors. As part of the Trideca team, you will be able to embrace opportunities for growth with emerging technologies, in a fast-paced, collaborative, and rapidly growing environment across Melbourne, Sydney and Brisbane.
At Trideca, we cut through red tape to get things done efficiently. Join us for a dynamic career where you can make a real impact. You can learn more about us here: https://www.trideca.com.au/

MATHEMATICAL & ANALYTICAL SKILLS:

• Strong understanding of linear algebra, calculus, probability, and statistics as applied to AI and machine learning.
• Expertise in algorithm design, optimization, and data structures

PREFERRED QUALIFICATIONS:

• Masters or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience in deploying AI models to production and managing model lifecycles.
• Familiarity with reinforcement learning, generative models (GANs), and transfer learning.
• Experience in AI/ML research and contributions to open-source AI communities.
• Familiarity with ethical AI principles and ensuring fairness in machine learning models.

We are looking for a highly skilled and innovative Artificial Intelligence (AI) Engineer to join our team. In this role, you will work on developing advanced AI solutions, creating algorithms, and optimizing machine learning models to solve complex problems. You will be responsible for designing and implementing AI systems that improve business processes, enhance user experience, and drive innovation. If you are passionate about cutting-edge technologies and the future of AI, this is the perfect role for you.

Key Responsibilities:

• AI System Development: Design, develop, and deploy AI and machine learning models to address a wide variety of business problems, including predictive analytics, natural language processing (NLP), computer vision, and recommendation systems.
• Model Optimization: Optimize and fine-tune machine learning models for performance, scalability, and accuracy, using techniques like hyperparameter tuning and model evaluation.
• Data Analysis & Feature Engineering: Collaborate with data engineers and data scientists to process large datasets, perform feature extraction, and clean and preprocess data for AI model development.
• Algorithm Development: Develop and implement advanced algorithms and methods in areas such as reinforcement learning, deep learning, and neural networks to improve model performance and outcomes.
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI models into products and services.
• Research & Innovation: Stay up to date with the latest trends and advancements in artificial intelligence, deep learning, and machine learning. Apply new research to solve real-world problems and create cutting-edge AI solutions.
• Deployment & Maintenance: Oversee the deployment of AI models into production environments, ensuring smooth operation and continuous improvement. Monitor performance and address issues as they arise.
• Documentation & Reporting: Document AI models, algorithms, and code thoroughly to ensure reproducibility and maintainability. Prepare technical reports and presentations to communicate findings and results to stakeholders.
• Ethics & Bias Mitigation: Ensure that AI models are built ethically and are free from bias, and adhere to best practices in AI fairness, transparency, and accountability.