{"id":3373353,"url":"https://alion.io/job/i-med-junior-machine-learning-engineer","title":"Junior Machine Learning Engineer","company":{"id":2876327,"name":"I Med","domain":"i-med.com.au","url":"https://alion.io/company/i-med-com-au","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T22:11:43Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T13:04:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Junior Machine Learning Engineer\n12 months Fixed Term -Full Time\nSydney or Melbourne\nWe’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.\nWorking 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.\nWhat you’ll do\nDevelop, train and evaluate ML models, and build AI solutions. \nDeploy, integrate and operate scalable ML/AI services and workflows. \nDevelop and maintain ML pipelines, including batch and real-time inference, integrating ML solutions with enterprise platforms. \nImplement testing, monitoring and CI/CD practices. \nCollaborate across technical and clinical teams to deliver high-quality, secure and governed solutions. \nWhat you’ll bring\n2-3+ years’ experience in ML engineering, ML development or software engineering with applied ML. \nStrong Python programming skills, with hands on experience in SQL, Linux, Git and MLOps. \nStrong understanding of ML fundamentals, feature engineering and model evaluation. \nExperience deploying ML models or AI solutions in production, with knowledge of CI/CD. \nA degree in Computer Science, Engineering, Data Science or a related discipline. \nExperience with Docker, cloud platforms (AWS, GCP or Azure), batch and streaming data pipelines, NLP or Generative AI will be highly regarded.\nAbout I-MED\nAt 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.\nFor more information visit: www.i-med.com.au.\nWhy join I-MED\nEnjoy 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.\nReady to make an impact? 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