AirLabOne is building next-generation digital solutions for laboratories, empowering sustainable operations.
Role Description
We are hiring a Machine Learning Engineer to design, build, and deploy AI-driven systems across both web and mobile applications. This role blends applied ML expertise with full-stack development, enabling you to deliver intelligent, production-ready features that power digital healthcare solutions.
Responsibilities
- Design and implement machine learning models for real-world applications.
- Build and maintain pipelines for data preparation, training, evaluation, and deployment.
- Develop APIs and services to bring ML models into web and mobile products.
- Collaborate with engineers and product teams to deliver end-to-end solutions.
- Optimize performance and scalability of ML systems in production.
- Stay up to date with emerging techniques in AI, computer vision, and applied ML.
Requirements
- Strong skills in computer vision, deep learning, and end-to-end system development, including ML pipeline design and deployment.
- Hands-on experience with PyTorch, TensorFlow, or scikit-learn, including CNNs and ViTs.
- Proficiency in Python and full-stack development (backend: Django/Flask/Node.js; frontend: React/Angular/Vue).
- Experience in mobile app development (iOS/Android using Swift, Kotlin, Flutter, or React Native).
- Solid understanding of cloud deployment (AWS) and containerization (Docker/Kubernetes).
- Knowledge of databases (SQL/NoSQL) and API design.
- Ability to work cross-functionally and deliver production-ready ML solutions.
Preferred Qualifications
- Exposure to self-supervised learning (e.g., SimCLR, DINOv2, BYOL).
- Familiarity with sequence modelling (Transformers, BiLSTMs) for structured or temporal data.
- Experience with MLOps practices: CI/CD pipelines, model monitoring, retraining.
- Experience with on-device ML optimization (TensorFlow Lite, Core ML, ONNX).
- Prior experience delivering AI-enabled web or mobile products.
Join Us
At AirLabOne, you’ll help build intelligent applications that power sustainable lab operations. If you’re ready to apply your expertise in ML, web, and mobile development to projects that make a real-world impact, we’d love to hear from you. Apply today!
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- Posted
- Aug 31, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Sydney
- Company
- AirLabOne
Industries
Categories
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