Bilingual AI Training & Business Transformation Specialist teaching AI training sessions for students and employers. Leading facilitation of hands - on AI projects and coaching in a remote setting.
About the role
- Senior Applied Researcher in AI/ML at PointClickCare, leveraging AI technologies to solve healthcare challenges. Empowering healthcare professionals with advanced solutions and collaboration in a dynamic environment.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, 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 applications.
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Requirements
- Master's degree or equivalent experience in Computer Science, Math, Physics, Engineering, or a related field, with strong fundamentals in applied Mathematics, statistics, or machine learning.
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience 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 SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- 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. LangChain, LlamaIndex).
Benefits
- Benefits starting from Day 1!
- Retirement Plan Matching
- Flexible Paid Time Off
- Wellness Support Programs and Resources
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- Continuous Development Support Program
- Employee Assistance Program
- Allyship and Inclusion Communities
- Employee Recognition … and more!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AI Consultant/Freelancer supporting two AI pilots for learning programs at Venture for Canada. Providing strategic AI guidance and implementation support in a nonprofit context.
Senior Business Consultant focusing on AI solutions for digital transformation. Leading consulting projects to optimize business processes and drive adoption of NICE software solutions.
Director of Data and AI Enablement overseeing data engineering and AI capabilities at Pratt & Whitney. Responsible for ensuring secure and reliable data across the enterprise.
AI Operator at saas.group transforming team workflows using AI tools and orchestrations for productivity enhancements. Working remotely, embedding with teams to optimize processes.
Director AI for Defense Canada leading Safran.AI’s operations in the Canadian Defense & Intelligence market. Cultivating relationships with key stakeholders and ensuring alignment with the defense ecosystem.
Artificial Intelligence Strategy Practice Leader driving AI strategic initiatives and collaborations for clients. Engaging with team and delivering AI solutions while overseeing projects and ensuring expectations are met.
FinOps Analyst focusing on cost governance for AI solutions in a cloud environment. Joining a team dedicated to optimizing resources and financial impacts in a hybrid setup.
AI Program Associate developing future artificial intelligence leaders and contributing to data science initiatives at Manulife. Gain hands - on experience with AI and machine learning projects.
UE
Sessional Lecturer teaching educational technology course focused on active learning classrooms and AI. Responsibilities include course design, teaching, and student assessment.