Senior Full Stack Engineer at WiseTech Global
Greater Adelaide, South Australia, Australia -
Full Time


Start Date

Immediate

Expiry Date

27 Apr, 25

Salary

0.0

Posted On

28 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Communication Skills, Python, Working Experience, Computer Science

Industry

Information Technology/IT

Description

JOB OVERVIEW:

Are you passionate about machine learning and want to make a real-world impact? We are looking for a Senior Machine Learning Engineer to join our dynamic Data Science team. You will have the opportunity to apply your expertise to solve challenging logistics problems by implementing innovative, advanced approaches. As a key player of our growing team, you will have the chance to transform creative ideas into reality in a stimulating and inclusive environment!

REQUIREMENTS:

  • BSc in Computer Science, other STEM subjects, or comparable work experience.
  • 3-5 years of working experience in machine learning/AI in a commercial environment.
  • Strong programming skills in Python (additionally, experience with C# a plus).
  • Experience in building and evaluating production-ready machine learning models.
  • Experience working with PyTorch, Tensorflow or other machine learning frameworks.
  • Knowledge about transformers, Large Language Models and other SOTA models is highly desirable.
  • Experience building chatbots or other AI Agents is not essential, but a plus.
  • Excellent communication skills, in particular, ability to explain complex concepts to more junior colleagues and non-technical people.
Responsibilities
  • Bring state-of-art machine learning models from ideas into production.
  • Take ownership of complex projects, and deliver well-structured, well-tested, production-ready solutions.
  • Take a leading role in designing and building innovative machine learning and other algorithmic solutions, API services and data pipelines.
  • Collaborate with multiple technical and non-technical stakeholders like product managers or software engineers.
  • Monitor, analyse and improve the quality of existing feature implementations using statistical methods.
  • Coach and support more junior colleagues.
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