AI/ML/LLM Engineer (Healthcare & Edge AI)

Monark Group; White Rock; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading technology firm in Canada seeks an AI / ML / LLM Engineer to develop innovative AI solutions in healthcare. This role involves designing models for clinical NLP and optimizing them for edge deployment. Ideal candidates will have significant experience in AI/ML, particularly with NLP and frameworks such as PyTorch and TensorFlow. Join a collaborative team to shape next-generation AI products.

Benefits

Competitive salary

Benefits

Opportunity to shape next-gen AI products

Qualifications

• 3+ years of experience in AI/ML development, including work on NLP and LLMs.
• Strong understanding of neural networks, model interpretability, and training workflows.
• Experience with Git, version control, and collaborative development practices.

Responsibilities

• Design and implement ML models and LLMs for clinical NLP, computer vision, and time‑series analysis.
• Fine-tune transformer-based LLMs using domain-specific data.
• Build scalable training and inference pipelines using PyTorch and TensorFlow.

Skills

AI/ML development

NLP

Python

PyTorch

TensorFlow

Hugging Face Transformers

NVIDIA CUDA

model interpretability

Git

Tools

Hugging Face Transformers

LangChain

OpenLLM

Job description

Job Summary

We are seeking a highly motivated AI / ML / LLM Engineer to join our core technology team in Canada. The ideal candidate will have hands‑on experience with training, fine‑tuning, and deploying machine learning and large language models (LLMs) in real‑world healthcare and embedded applications. This role involves working with multimodal data (text, image, time‑series), optimizing models for edge deployment (e.g., on Jetson platforms), and collaborating with clinical and engineering teams to develop intelligent decision‑support tools.

Key Responsibilities

• Model Development & Training: Design and implement ML models and LLMs for clinical NLP, computer vision, and time‑series analysis.
• LLM Fine‑Tuning & Optimization: Fine‑tune transformer‑based LLMs (e.g., LLaMA, GPT, BERT) using domain‑specific data.
• Multimodal Integration: Fuse data from EMR notes, physiological monitors, and video sources to build robust predictive systems.
• Edge AI Inference: Optimize and deploy ML/LLM models on edge platforms such as NVIDIA Jetson (Xavier, AGX Orin).
• Pipeline Automation: Build scalable training and inference pipelines using PyTorch, TensorFlow, and Hugging Face Transformers.
• Evaluation & Validation: Define performance metrics, conduct clinical validations, and refine models for safety‑critical environments.
• Collaboration & Documentation: Work with firmware, frontend, and clinical teams; maintain technical documentation and research records.

Required Qualifications

• 3+ years of experience in AI/ML development, including work on NLP and LLMs.
• Proficiency in Python, PyTorch, and TensorFlow.
• Hands‑on experience with Hugging Face Transformers, LangChain, or OpenLLM frameworks.
• Familiarity with NVIDIA CUDA, TensorRT, and ONNX for edge model acceleration.
• Strong understanding of neural networks, model interpretability, and training workflows.
• Experience with Git, version control, and collaborative development practices.
• Solid grasp of medical or clinical datasets (notes, time‑series, imaging) preferred.

Preferred Qualifications

• Experience deploying models on Jetson platforms (Nano, TX2, Xavier, Orin).
• Understanding of HIPAA, PHI, and secure model deployment in healthcare.
• Knowledge of classical ML algorithms (XGBoost, SVM, clustering) for tabular data.
• Experience with multimodal model architectures (e.g., vision‑language models).
• Publications or participation in medical AI challenges (e.g., PhysioNet, MIMIC).

Why Join Us?

• Develop impactful AI solutions for neonatal and critical care.
• Work at the intersection of healthcare, deep learning, and edge computing.
• Collaborate with top clinicians, engineers, and researchers.
• Competitive salary, benefits, and the opportunity to shape next‑gen AI products.