Job Overview
We seek a highly skilled Senior Machine Learning Engineer to join our dynamic Data Science team. The ideal candidate will have expertise in machine learning and experience applying innovative approaches to complex logistics problems.
About Us
WiseTech Global is a leading Australian Software Development Company specializing in advanced solutions for the logistics industry. Our flagship product, CargoWise One, showcases our commitment to innovation. With a mission to enhance global supply chain efficiency, we offer a comprehensive platform integrating all aspects of logistics from origin to destination.
Key Responsibilities
1. Develop and deploy state-of-the-art machine learning models in production.
2. Take ownership of complex projects, delivering well-structured, well-tested, and production-ready solutions.
3. Lead the design and building of innovative machine learning and algorithmic solutions, API services, and data pipelines.
4. Collaborate with technical and non-technical stakeholders, including product managers and software engineers.
5. Analyse and improve feature implementations using statistical methods.
6. Support and coach junior colleagues.
Requirements
1. Bachelor's degree in Computer Science or comparable work experience.
2. 3-5 years of experience in machine learning/AI in a commercial environment.
3. Strong programming skills in Python, with C# experience an advantage.
4. Experience building production-ready machine learning models.
5. Experience working with PyTorch, TensorFlow, or other machine learning frameworks.
6. Familiarity with transformers, Large Language Models, and other state-of-the-art models desirable.
7. Excellent communication skills, with ability to explain complex concepts to junior colleagues and non-technical people.
Terms of Application
From time to time, WiseTech Global may use external service providers to assist with assessing applications, including background checks. By applying for this role and providing personal information, you consent to WiseTech Global sharing this information with our external service providers who are required to treat it confidentially.