Senior AI Engineer, AI AcceleratorHybrid (Melbourne)

Senior AI Engineer, AI AcceleratorHybrid (Melbourne)

06 Aug
|
Wesfarmers
|
Melbourne

06 Aug

Wesfarmers

Melbourne

Senior AI Engineer, AI Accelerator Hybrid at WESFARMERS

About the role The Senior AI Engineer plays a vital role in the AI Accelerator team, responsible for the architecture of solutions, ensuring high standards of code quality, and managing the most complex technical tasks. At Wesfarmers OneDigital, we are focused on developing Australia's premier data and digital retail ecosystem, integrating AI into all aspects of our operations. Our work spans four key areas: loyalty, data, retail media, and AI, transforming millions of customer interactions into valuable insights that influence how Australians shop, live, and connect.

Key facts Location: Melbourne CBD, Melbourne Engagement: Hybrid Team: AI Accelerator

What you'll do

- Design and implement advanced AI solutions to enhance our digital retail ecosystem.
- Ensure the quality and maintainability of code across various projects within the team.
- Collaborate with cross-functional teams to deliver innovative solutions that meet business objectives.
- Analyze and optimize existing AI models to improve performance and accuracy.
- Mentor junior engineers and contribute to their professional growth.

Requirements

- A degree in Computer Science, Engineering,



or a related field.
- At least 5 years of experience in AI and machine learning development.
- Proficiency in programming languages such as Python and Java.
- Solid understanding of machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with data processing tools and techniques, including SQL and NoSQL databases.

Nice to have

- Experience in the retail or e-commerce sector.
- Knowledge of big data technologies like Hadoop or Spark.
- Familiarity with DevOps practices and tools.
- Understanding of data privacy regulations and ethical AI practices.

Skills & tools

- Python, Java
- TensorFlow, PyTorch
- AWS, Azure, Google Cloud
- SQL, NoSQL
- Hadoop, Spark (optional)

Practical notes

Benefits include:

- flexible working arrangements
- professional development opportunities
- team-oriented work environment

This position is open to applicants requiring visa sponsorship.

Interested candidates should submit their applications by the specified deadline.

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📌 Senior AI Engineer, AI AcceleratorHybrid (Melbourne)
🏢 Wesfarmers
📍 Melbourne

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