AI & Data Analyst

3 days ago

Kelowna, Canada fides.technology Full time

Croptimistic Technology Inc., an international agtech company, is renowned for its SWAT MAPS solution, providing high-fidelity mapping for zone management in agriculture. They aim to lead the field in premium precision agriculture services with a dedicated team focused on empowering modern farming with innovative technology.

In this role you can expect to have the responsibilities:

  • Develop, implement, and maintain AI solutions for various agricultural applications.
  • Use AI to enhance technology performance.
  • Employ machine learning and deep learning techniques to improve processes.
  • Collaborate with stakeholders to ensure solutions meet business needs.
  • Ensure systems are reliable, scalable, and valuable.
  • Collect data from multiple sources and perform analyses.

This role comes with the following benefits:

  • Professional development with growth opportunities.
  • Matching RRSP program.
  • Group benefits plan including Life, Long Term Disability, Extended Health & Dental.
  • Personal time off.
  • Home office, internet, and cell phone subsidies.

This role requires you to have:

  • Experience with Python and writing clean, maintainable code.
  • Expertise in statistical data analysis and numerical modeling.
  • Familiarity with segmentation models, image processing, and computer vision algorithms.
  • Proficiency in PyTorch, TensorFlow, NumPy, SciPy, and image processing libraries.
  • Ability to develop machine learning pipelines.
  • Experience implementing deep learning models from research papers.
  • Interpreting model performance in terms of accuracy and efficiency.
  • Strong knowledge of complex data analysis, AI, and machine learning.
  • Experience with large data sets and scalability.
  • Experience with Linux/Servers/Command Line and Docker or other containers.
  • Education in a technical discipline such as computer science, engineering, IT, AI, or environmental sciences.
  • Experience building AI and machine learning systems.

You would benefit from having:

  • Background in environmental systems, including soil and plant sciences, hydrology, biogeochemical cycles, and agronomy.
  • Familiarity with broad acre agricultural production systems.
  • Experience with implementing LLMs and VLMs.

Ideal candidates are based in Kelowna, BC or Saskatoon, SK, with consideration given to exceptional applicants in Western Canada.

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