Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at Point Click CareApply machine learning and AI techniques including Gen AI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based Saa S production environments for healthcareWork with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutionsDesign, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applicationsPerform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systemsPerform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing current tools or workflows as neededApply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and Lang Smith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scaleContribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organizationYou are a talented Senior Applied Researcher in AI / Machine Learning,



looking to make a difference solving critical customer and business challenges in the dynamic healthcare market You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care Strong communication and collaboration skills; comfortable working on a distributed team Hands-on experience working with healthcare data (e.G. EHR, ADT, clinical notes)Proficiency in Python. Proficiency in Java or other languages helpful Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.G. Lang Chain, Llama Index)Experience building and evaluating models using modern ML packages such as Num Py, Sci Py, Pandas, Scikit-learn, Py Torch, and Light GBMExperience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at Saa S scale Ph. D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience—including at least 1 year directly related to healthcare ML/AIExperience working with large datasets using big data frameworks (e.G. Azure Data Lake, Apache Spark or Databricks)Proven industry experience through multiple major product releases in a commercial Saa S environment Proficiency with SQL and data engineering for AI/ML applications Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.G. Lo RA, QLo RA) using frameworks such such as Hugging Face Transformers#J-18808-Ljbffr

📌 Senior Applied Researcher (Ai/Ml, Cad) (Quebec City)
🏢 PointClickCare
📍 Quebec City