Machine Learning Engineer

Position: Machine Learning Engineer (2)
Overview

Job Title:

Machine Learning Engineer (2)

Location:

Saskatoon, or Calgary
Company:  Super GeoAI Technology Inc.
Role  We are hiring  two Machine Learning Engineers  to design, train, and deploy advanced AI models powering our next-generation agriculture technologies. You’ll work directly on SGA’s core AI products, turning cutting-edge research into real-world AI solutions that farmers, insurers, and the agriculture sector depend on every day.

Key Responsibilities    Explore, develop, and refine AI and GeoAI models  using real-world field data.
Build prototypes of algorithms , evaluate performance, and benchmark them on production-scale datasets.
Provide technical input  to software engineers for implementing ML algorithms in production systems.
Implement and optimize models  in computer vision, deep learning, and geospatial AI applications.
Collaborate across teams —including software engineers, data scientists, and product managers—to deploy robust AI solutions.
Continuously monitor and improve model performance  for scalability, reliability, and accuracy.
Qualifications   Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
3+ years of industry experience  with a track record of building and deploying successful, AI-powered projects or products.
Proficiency in  Python  and ML frameworks such as  Tensor Flow  and  PyTorch .
Strong knowledge of  ML algorithms, statistical methods, and large-scale data processing .
Proven experience leveraging AI-assisted coding tools to accelerate coding, debugging, and optimization.
Excellent problem-solving skills with a sharp attention to detail.
Strong communication and collaboration skills, with experience working in cross-functional teams.
This is more than a coding job—you’ll be shaping the AI systems that redefine agriculture worldwide.

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