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Open nowPosted 8 days ago

Junior Machine Learning Engineer

ekac.fa.ap1.oraclecloud.com/CX_1001106 open roles

Where
New South Wales, Australia
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Your applicationOpen nowJunior Machine Learning Engineerekac.fa.ap1.oraclecloud.com/CX_1001 · New South Wales, Australia

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. ekac.fa.ap1.oraclecloud.com/CX_1001 postings stay open a median of 14 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 8 days ago

ekac.fa.ap1.oraclecloud.com/CX_1001 median: 14 days open

The posting

Job Description

Junior Machine Learning Engineer

12 months Fixed Term -Full Time

Sydney or Melbourne

We’re looking for a Machine Learning Engineer to help develop and deliver scalable, reliable machine learning and AI solutions that support clinical and operational outcomes across our organisation.

Working within our Analytics team, you’ll collaborate with Senior ML Engineers, Data Scientists, Software Engineers and Clinical stakeholders to take ML models and AI solutions from development through to production.

What you’ll do

  • Develop, train and evaluate ML models, and build AI solutions.
  • Deploy, integrate and operate scalable ML/AI services and workflows.
  • Develop and maintain ML pipelines, including batch and real-time inference, integrating ML solutions with enterprise platforms.
  • Implement testing, monitoring and CI/CD practices.
  • Collaborate across technical and clinical teams to deliver high-quality, secure and governed solutions.

What you’ll bring

  • 2–3+ years’ experience in ML engineering, ML development or software engineering with applied ML.
  • Strong Python programming skills, with hands on experience in SQL, Linux, Git and MLOps.
  • Strong understanding of ML fundamentals, feature engineering and model evaluation.
  • Experience deploying ML models or AI solutions in production, with knowledge of CI/CD.
  • A degree in Computer Science, Engineering, Data Science or a related discipline.

Experience with Docker, cloud platforms (AWS, GCP or Azure), batch and streaming data pipelines, NLP or Generative AI will be highly regarded.

About I-MED

At I-MED, we're more than just a medical imaging provider - we're a community of passionate professionals committed to excellence for our patients. With over 200 clinics and a staggering 6 million patient procedures annually, we proudly stand as one of the largest providers of medical imaging in the world. Our success lies in our people with over 350 dedicated doctors and 4,000 staff members who actively share clinical knowledge and expertise.

For more information visit: www.i-med.com.au.

Why join I-MED

Enjoy exclusive benefits including discounted private health insurance, salary packaging, Fitness Passport access, lifestyle and travel discounts, I-MED services for your family and employee wellbeing support.

Ready to make an impact? Join I-MED and help us shape the future of medical imaging through machine learning.

About Us

With over 240 clinics nationally, I-MED Radiology is Australia's largest private diagnostic imaging network offering a comprehensive range of services including CT, MRI, ultrasound, general x-ray, Nuclear Medicine, and a commitment to exceptional standards of patient care.

Our vision is to be the most respected and trusted medical imaging specialists in the world. Our purpose is to help save lives and reduce uncertainty.

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