Monark
AI/ML/LLM Engineer (Healthcare & Edge AI)
MonarkCanada1 day ago
Full-timeOther
Job Openings

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

Critical Insights - White Rock, British Columbia

Department

Critical Insights

Employment Type

Permanent - Full-Time

Minimum Experience

Experienced

Compensation

$85,000 - $100,000

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

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