Edge AI Engineer - Healthcare Applications

Position : Edge AI Engineer - Cancard Inc

Location : New Delhi / Toronto

Role Type : Full Time

Cancard Inc and Advaa Health are seeking an experienced, engaged, and hands-on healthcare industry Edge Computing / IOT / CV expert for the role of Edge AI Engineer. This role will be pivotal in driving development, launch, and successfully commercializing an innovative portfolio of digital healthcare products for global markets.

Cancard Inc has been a multi-technology company based in Markham (Toronto) since 1989. Both Cancard and its sister company, Advaa Health, are at the forefront of transforming primary healthcare through technological innovation. Our mission is to empower primary care physicians with state-of-the-art digital tools and solutions that streamline their practices and significantly reduce administrative burdens and operational costs. Amidst increasing paperwork and complex administrative tasks faced by healthcare professionals, we serve as a key partner, enabling physicians to focus on patient care.

Our healthcare product portfolio leverages cutting-edge technologies in data analytics, artificial intelligence, and cloud computing to offer seamless, intuitive, and cost-effective solutions. By integrating our systems, primary care practices can enhance patient engagement, optimize appointment scheduling, automate billing and coding processes, and access comprehensive patient health records in real-time. These advancements not only improve the quality of care provided but also contribute to a significant reduction in overhead costs.

This position offers a unique opportunity for AI Engineers who are passionate about solving critical healthcare challenges to learn and grow within the company. The role provides direct experience and exposure to customers in the US, Canada, and other global markets.

KEY RESPONSIBILITIES :

EDGE COMPUTING MODEL DEPLOYMENT :

• Convert, optimize, and deploy trained AI / ML models for edge inference using tools such as :

o TensorRT (for NVIDIA Jetson and GPUs)

o ONNX Runtime (for hardware-agnostic and cross-platform deployment)

o OpenVINO (for Intel-based edge devices)

o TFLite (for mobile and microcontroller-based healthcare applications)

o Post-training quantization (INT8, FP16)

o Pruning and weight clustering

o Model conversion to ONNX or IR formats for interoperability

IOT SENSOR INTEGRATION :

o Inertial Measurement Units (IMUs) : Accelerometers, gyroscopes, magnetometers.

o Physiological Sensors : Heart rate (PPG), SpO2, ECG, EMG, temperature, respiration, and blood pressure sensors.

o Environmental Sensors : CO₂, humidity, light exposure (for ambient health monitoring).

o Work with I²C, SPI, UART, BLE (Bluetooth Low Energy), and USB HID for data acquisition and transmission.

o Implement sensor drivers, data parsing, and calibration routines for real-time use.

o Apply filtering (Kalman, low-pass, high-pass) and sensor fusion algorithms to combine multiple sensor modalities for robust signal interpretation.

o Normalize and preprocess raw sensor data for efficient input into ML models.

o Manage high-frequency data streams and maintain synchronization across multiple sensors.

Build and deploy real-time AI pipelines for activity recognition, fall detection, gait analysis, and anomaly detection in patient vitals.

o Run lightweight signal processing and classification models directly on microcontrollers or edge devices.

o Use platforms such as TinyML, Edge Impulse, or CMSIS-NN for embedded ML on sensor data.

o Ensure compatibility with commercial wearable platforms (e.g., smart bands, chest straps, ECG patches).

o Conduct in-field testing and validation in collaboration with clinical or biomedical teams.

COMPUTER VISION EXPERTISE :

DEEP LEARNING EXPERTISE (Preferred) :

o Knowledge of developing and optimizing models using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM).

o Transformers and attention-based architectures (e.g., Temporal Fusion Transformers, Vision Transformers) for capturing long-range dependencies in sequential health data.

MODEL OPTIMIZATION & DEPLOYMENT :

HEALTHCARE INDUSTRY SOLUTIONS :

SOFTWARE & HARDWARE INTEGRATION :

VALIDATION & COMPLIANCE :

CROSS-FUNCTIONAL COLLABORATION :

QUALIFICATIONS : Education :

Technical Skills :

Soft Skills :

Preferred Qualifications :

WHAT WE OFFER :

HOW TO APPLY :

Please submit your resume, cover letter, and any relevant work samples or project portfolios to In your cover letter, explain why you're interested in this role and how your background and experience make you a good fit for our team.

We thank all applicants for their interest in joining Cancard, but only those selected for an interview will be contacted. Cancard is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.