Super GeoAI Technology Inc.

2 Jobs

6 Employees

About the Company

Super GeoAI Technology Inc. (SGA), a fast-growing geospatial artificial intelligence (GeoAI) technology company with offices in Saskatoon and Calgary, is developing fast, scalable and brand agnostic GeoAI engines and platforms to manage, analyze, and visualize spatial big data. Our mission at SGA is to take the rocket fuel of great structured data and create elegant, simple, but ultrafast, brand agnostic, AI algorithmic engines for focused mobile and cloud platform use in agriculture. We are developing AI-driven mobile applications and GeoAI cloud platforms to help grain growers and buyers to automate laborious manual observation and make rapid and informed decisions. Research has shown that the real difference between the top 20% of profitable farmers and the rest of the industry is the ability of the former to make the right decision at the right time. Our GeoAI technology has the potential to increase the gross revenue of farmers by 20-40%.

Listed Jobs

Company Name: Super GeoAI Technology Inc.
Job Title: Web developer
Job Description: **Job Title:** Web Developer **Role Summary:** Design, develop, and maintain website architecture and code for web and e-commerce applications. Collaborate on user requirement gathering, perform testing, and ensure seamless integration of new features. **Expectations:** - 1 to <2 years of professional web development experience. - Full‑time, on‑site work required (no remote option). - Ability to deliver projects on schedule and adapt to changing technical needs. **Key Responsibilities:** - Build and refine website architecture and layout. - Write, modify, and test HTML, CSS, JavaScript, and related server‑side code. - Update and maintain existing web applications, applying code modifications as needed. - Source, organize, and integrate content; design visual layout and user flow. - Collect and document user requirements. - Research and evaluate interactive media software and libraries. - Develop and integrate software code for e‑commerce and other Internet applications. **Required Skills:** - Proficiency in front‑end languages (HTML5, CSS3, JavaScript). - Experience with server‑side scripting (e.g., PHP, Node.js, Python, or equivalent). - Knowledge of responsive design principles and cross‑browser compatibility. - Familiarity with version control systems (Git). - Ability to write clean, testable code and troubleshoot bugs. - Strong communication skills for requirement gathering and documentation. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field, or an equivalent combination of education and experience. - No specific certifications required.

Company Name: Super GeoAI Technology Inc.
Job Title: machine learning engineer
Job Description: Job Title: Machine Learning Engineer Role Summary: Design, develop, and maintain end‑to‑end machine learning solutions and supporting software for rapid product iteration in a startup or software consulting environment. Lead a small team (3–4 members) to deliver high‑quality ML models and associated data pipelines under tight deadlines. Expectations: • 5+ years of experience in ML/AI development • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field • Proven ability to work independently in a hybrid (in‑person and remote) setting • Comfortable in a fast‑paced, high‑pressure environment with frequent deadline changes • Strong attention to detail and commitment to code quality Key Responsibilities: 1. Build and deploy production‑ready ML models, from data ingestion to inference. 2. Design and implement relational/NoSQL databases and data warehouses to support training and inference workloads. 3. Upgrade and maintain existing ML software, ensuring backward compatibility and performance optimization. 4. Lead and mentor a small team of developers and data scientists, overseeing code reviews and sprint planning. 5. Collaborate with product, engineering, and client stakeholders to translate business requirements into technical specifications. 6. Implement automated testing, continuous integration/continuous deployment (CI/CD) pipelines, and monitoring for model performance drift. 7. Manage data preprocessing, feature engineering, and pipeline orchestration using tools such as Airflow or Prefect. Required Skills: • Proficiency in Python, R, or equivalent ML programming languages. • Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit‑learn). • Strong foundation in data engineering: SQL, NoSQL, ETL pipelines. • Database design and management (PostgreSQL, MySQL, MongoDB, Cassandra). • Familiarity with cloud ML services and containers (AWS SageMaker, GCP Vertex AI, Azure ML, Docker, Kubernetes). • Experience with model versioning, monitoring, and MLOps tooling (MLflow, DVC). • Knowledge of CI/CD systems (GitHub Actions, Jenkins, GitLab CI). • Agile development practices, sprint planning, and team leadership. Required Education & Certifications: • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related technical discipline. • Industry certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, Azure Data Scientist Associate) are a plus but not mandatory.