AI Engineer at Epworth
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

15900.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, AI, Machine Learning, Data Analysis, Feature Engineering, Large Language Models, Cloud-Based AI Platforms, Data Security, Compliance, Healthcare, NLP, Model Validation, AI Governance, Software Engineering, TensorFlow, PyTorch

Industry

Hospitals and Health Care

Description
Company Description Epworth HealthCare is Victoria’s largest not-for-profit private health care group, renowned for excellence in diagnosis, treatment, care and rehabilitation. Epworth is an innovator in Australia’s health system, embracing the latest in evidence-based medicine to pioneer treatments and services for our patients. At Epworth, we are united in our commitment to fostering a diverse and inclusive workplace—one that is culturally safe and respectful of the enduring cultural and spiritual connections of our people. We value all differences, ensure equitable practices, and empower individuals to lead and learn inclusively in their everyday interactions. Our goal is to create an environment where everyone feels a genuine sense of belonging. Our values and purpose define Epworth's approach and delivery. We pride ourselves on communicating and delivering them in a real and meaningful way. Every Patient Matters. Job Description The AI Engineer is a key member of the Digital & Information Technology team under the CTO portfolio and will play a critical role in evolving and delivering innovative AI-driven solutions that enhance operational efficiency, patient care, and clinical research outcomes. In this full time role, based in the Pelaco Building in Richmond, you will be responsible for building, deploying, and maintaining AI models and data pipelines across various healthcare applications. The AI Engineer will be part of the Data team and will work closely with data scientists, software engineers, and domain experts to ensure that AI solutions are secure, compliant, explainable, and clinically relevant. The engineer must have hands-on experience with Python, Azure AI services, large language models (LLMs), and integration of AI models into existing platforms. You will make an impact by: Designing, developing, and deploying AI/ML models (classification, NLP, LLMs, etc.) for clinical and operational use cases Working with stakeholders to translate business problems into AI solutions Maintaining and optimize AI model lifecycle, including versioning, monitoring, and retraining Supporting AI governance, risk assessment, and model validation To be successful in this role… You will have: 8–10 years of experience in software engineering or data-focused roles, including at least 3 years in applied AI/ML projects Experience in healthcare or regulated industries; exposure to electronic health records or clinical data (desirable) Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Extensive experience with data manipulation, analysis, and feature engineering. Hands-on experience with Large Language Models (LLMs) and their application (e.g., fine-tuning, prompt engineering, RAG architectures). Experience with cloud-based AI platforms. Solid understanding of data security, privacy, and compliance principles (e.g., HIPAA, GDPR, Australian data privacy regulations). Experience in designing and implementing robust, scalable, and secure AI solutions. Position Description Inherent Requirement Qualifications Essential Bachelor’s degree in Computer Science, Data Science, AI, or related field Desirable Postgraduate qualification in AI or Data Science; AI Engineer certification or equivalent Additional Information Why Join Epworth? At Epworth, it’s a community. It’s the sense of belonging and being part of an organisation and a team that works to make sure that every patient matters. In addition to this, you will have access to: Salary package up to $15,900 pre-tax annually, leading to greater take home pay The largest educational scholarship program of its kind in Australia Reduced cost of health services for you and your family at Epworth We welcome applicants from all backgrounds. This includes First Nations peoples, people with disability, mature-age and young job seekers, members of the LGBTIQA+ community, and individuals from all cultural backgrounds. We are committed to providing an equitable, inclusive, and barrier-free recruitment experience for everyone. If you need support during the application process or would like to discuss reasonable adjustments, we encourage you to let us know what you need to participate fully and confidently. We understand that sharing your needs can feel daunting, so please know that any information you provide will be treated with the utmost confidentiality and respect. Ready to Make a Difference? To apply, click the I'm Interested button to attach your CV and cover letter. For more information about the role, refer to the attached position description or contact [email protected] / (03) 9426 0606. Please Note: Applications are reviewed as received. Don’t wait—this role may be filled before the closing date. Apply now… we’ve over 8,000 perspectives at Epworth and we’re ready to welcome yours! It is a condition of employment with Epworth HealthCare, subject to reasonable exemptions, that you have had an annual Influenza vaccination, where this is required under Epworth policy. As a child safe organisation, all successful applicants are required to satisfactorily clear a National Police Check (conducted by Epworth) and may be required to hold a valid employee Working with Children Check (provided by you). At Epworth, we believe inclusion and diversity are essential to our culture and values. We focus on fairness and opportunity for all – across race, ability, ethnicity, gender, age, sexuality, cultures and beliefs – that reflect the communities we work in. At Epworth, we care.
Responsibilities
The AI Engineer will design, develop, and deploy AI/ML models for clinical and operational use cases. They will work closely with stakeholders to translate business problems into AI solutions and maintain the AI model lifecycle.
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