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Job Title


Senior Machine Learning Engineer (2)


Company : SGA


Location : Saskatoon, Division No. 11


Created : 2026-04-04


Job Type : Full Time


Job Description

Overview Job Title: Senior Machine Learning Engineer (3) Location: Saskatoon, or Calgary Company: Super GeoAI Technology Inc. Role We are hiring three Senior Machine Learning Engineers to help design, train, and deploy advanced AI models that power our next-generation agriculture technologies. In this role, you will lead or co-lead AI development for one of our flagship products, including: - 3D Grain Bin Fill Volume Measurement - Fungicide Application & Management - Hail Damage Assessment - Crop Yield Loss Assessment - Field Boundary Detection & Analysis Youll play a key role in turning cutting-edge research into real-world solutions that farmers, insurers, and the agriculture sector rely on every day. Responsibilities - Lead the design, development, and deployment of machine learning models and algorithms. - Analyze and preprocess large-scale datasets to create robust, high-quality training pipelines. - Implement and optimize ML models for computer vision, deep learning, and geospatial AI applications. - Collaborate with cross-functional teamssoftware engineers, data scientists, and product managersto integrate models into production systems. - Evaluate model performance using diverse metrics and continuously refine for accuracy, scalability, and reliability. - Mentor junior engineers, conduct code reviews, and establish best practices in ML development. - Stay ahead of the curve by monitoring advancements in AI, ML, and computer vision research. Qualifications - Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Physics, or a related field (Ph.D. preferred). - 5+ years of industry experience with a proven track record of building and deploying successful, AI-powered, high-impact projects or products. - Strong publication record in top-tier conferences/journals (e.g., ICCV, CVPR) preferred. - Proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch. - Deep understanding of ML algorithms, statistical methods, and large-scale data processing. - Proven experience leveraging AI-assisted coding tools to accelerate coding, debugging, and optimization. - Exceptional problem-solving skills with strong attention to detail. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - This is more than a coding jobyoull be shaping the AI systems that redefine agriculture worldwide. #J-18808-Ljbffr