Ready to make a profound impact on healthcare? At HealthGuardian AI, we're not just developing solutions—we're transforming an industry. We're seeking an exceptional AI/ML Engineer to drive the next wave of innovation in our cutting-edge technologies. This role offers the unique opportunity to collaborate intimately with global healthcare providers and leading experts, crafting solutions that support doctors in their mission to deliver advanced patient care.

The odds that we all know people close to us who struggle with chronic conditions, post-surgical challenges, or limited access healthcare is too high. Join our mission to provide vital support to healthcare professionals, ensuring better outcomes for patients everywhere. This is your opportunity to be part of a fast-growing startup that's changing the face of healthcare. Together, we can make a real difference and provide the future tools for the healthcare professionals today ."

Responsibilities:

Design and implement AI/ML to enhance RPM device functionality.
Ability to translate clinical requirements into detailed technical specifications and implement solutions independently.
Optimise AI/ML algorithms for performance, scalability, and reliability.
Stay updated on AI advancements and apply them to healthcare challenges.

General Requirements:

Bachelor's degree in Computer Science, Engineering, or related field (Master's or Ph.D. preferred).
Proficiency in Python, C++, Java, MATLAB, etc
Self driven and ability to work independently from scratch
Strong understanding of machine learning techniques and deep learning frameworks (e.g., TensorFlow, PyTorch).
Experience deploying AI models in production environments.
Strong problem-solving and critical-thinking skills.

Technical Requirements:

Expert in feature extraction from biomedical signals (e.g., ECG) using advanced time-domain, frequency-domain, and wavelet techniques, including vital sign and low-frequency signal analysis.
Experience with PCA, ICA, and t-SNE for high-dimensional data analysis.
Proven expertise in developing and deploying machine learning models in MATLAB, including CNNs, RNNs, ensemble methods, and SVMs, with strong validation skills using nested cross-validation, Monte Carlo cross-validation, and Bayesian optimisation.
Strong understanding of advanced signal processing techniques, including Fourier transforms, wavelet transforms, digital filtering, and noise reduction.
Experience managing and pre-processing large-scale biomedical datasets, using data augmentation, synthetic data generation, and handling class imbalance with SMOTE.
Proficiency in real-time signal processing and algorithm optimisation for high-performance, low-latency applications.

Desirable:

Familiarity with medical device development standards,

ISO 13485: Understanding of quality management systems specific to the medical device industry, ensuring adherence to regulatory requirements and best practices throughout the product lifecycle.
ISO 14971: Knowledge of risk management principles in medical device development, enabling the identification, assessment, and mitigation of potential hazards to patient safety.
ISO 62304: Proficiency in software lifecycle processes for medical device software, ensuring the development of safe and effective software that meets regulatory requirements.

Join us in shaping the future of healthcare technology at HealthGuardian AI. Apply now and be part of something extraordinary!

HealthGuardian AI jobs

AI/ML Engineer