Back to jobs
Expert-level proficiency in Python for data manipulation, statistical modeling, and pipeline development.
Proven, hands-on experience designing and optimizing prompts for advanced large language models (specifically Gemini, or comparable LLMs) tailored for structured document analysis.
Direct experience with document understanding tasks, including working with unstructured text, OCR output, and information extraction from complex forms or contracts.
Practical experience with ML/AI techniques, including supervised, unsupervised, and specifically deep learning and NLP methods.
Experience with big data tools such as SQL, Hadoop, and Spark.
Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured non-traditional data.
Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira).
University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
Effective communication skills with the ability to prepare clear project documentation and compelling presentations.
Ability to translate technical knowledge into tangible business value and collaborate effectively across technical and non-technical teams.
Working knowledge of visualization tools such as Power BI.
Scientist - Data, Global Artificial Intelligence & ML
Toronto, ONPosted 5 days ago