Junior Machine Learning Engineer
Key Skills for This Role
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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.
Qualifications
- 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.
Responsibilities
- 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.
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