AI Research Engineer

4 weeks ago


Kingston, Ontario, Canada Novari Health Inc. Full time
Join Our Team at Novari Health Inc.

We are seeking a highly skilled and motivated AI Research Engineer to join our team at Novari Health Inc. in Kingston, Ontario. As a key member of our AI Research Team, you will play a central role in driving AI initiatives aimed at improving Novari solutions.

Key Responsibilities:
  • Collaborate with our AI Research Team to support ongoing projects focused on the development and application of artificial intelligence in healthcare.
  • Assist in data collection, preprocessing, and analysis to facilitate project progress.
  • Contribute to the design and implementation of AI algorithms aimed at solving complex healthcare challenges.
  • Participate in algorithm testing, validation, and optimization to ensure accuracy and reliability.
  • Conduct in-depth analysis of healthcare datasets to identify patterns, trends, and insights that inform AI model development.
  • Apply data visualization techniques to show the insights into the data.
  • Apply statistical and machine learning techniques to extract meaningful information and derive actionable conclusions.
  • Assist in evaluating the performance of AI models through rigorous testing and validation procedures.
  • Prepare detailed documentation of research methodologies, experimental procedures, and findings.
  • Summarize research results in clear and concise reports for internal stakeholders and project collaborators.
Requirements:
  • Pursuing a Bachelor's degree at Queen's University in computer science, computer systems engineering, software engineering, web design, or a field related to the industry.
  • Strong background in data structures or algorithms gathered from inside or outside of school or work.
  • Basic understanding of programming languages such as Python or R.
  • Basic understanding of object-oriented programming languages such as C#, JAVA.
  • Understanding of basic machine learning concepts and algorithms such as Linear Regression, Logistic Regression, Random Forest.
  • Basic knowledge of agile software development processes and life cycle model.
  • Experience with data manipulation and visualization tools such as Pandas, Numpy, and Matplotlib.
  • Basic understanding of deep learning algorithms and frameworks, such as Pytorch, would be an asset.
  • Experience with Generative AI tools would be an asset.
  • Experience with mainstream cloud computing platforms, such as Microsoft Azure, Amazon AWS, would be a plus.
  • Able to effectively communicate technical concepts to other technical and non-technical staff members.
What We Offer:
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A dynamic and collaborative work environment.
  • Access to cutting-edge technology and resources.

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