Artificial Intelligence Engineer (Guelph)

Job Summary We are looking for an experienced AI / Machine Learning Engineer with strong expertise in building and deploying AI solutions in production environments. The ideal candidate should have hands-on experience with Computational Knowledge Graphs, strong mathematical foundations, and practical exposure to machine learning, optimization techniques, and scalable system design. Experience working with Oil & Gas domain data and business processes is highly preferred. Key Responsibilities - Design, develop, deploy, and maintain AI/ML applications for production-scale environments. - Build and optimize Computational Knowledge Graph solutions for intelligent data modeling and decision support. - Develop machine learning models for prediction, classification, optimization, and analytics use cases. - Implement scalable AI architectures and integrate them with enterprise platforms. - Work with structured and unstructured datasets to derive business insights. - Design and optimize algorithms using mathematical and statistical techniques. - Develop APIs and backend services for AI model integration. - Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders. - Apply AI solutions to solve business problems in the Oil & Gas domain. - Monitor model performance and continuously improve system reliability and efficiency. - Follow MLOps and software engineering best practices for deployment and lifecycle management. Required Skills & Qualifications Technical Skills - Strong proficiency in Python (mandatory) - Good programming knowledge in Java, C++, TypeScript/JavaScript - Solid mathematical foundations including: - Linear Algebra - Probability & Statistics - Optimization Techniques - Calculus (preferred) - Solid understanding of: - Machine Learning algorithms - Deep Learning concepts - Feature Engineering - Model Evaluation & Optimization - System Design principles - Experience with Computational Knowledge Graphs / Graph-based AI systems - Exposure to AI deployment and production-grade ML systems - Experience with cloud platforms and scalable architecture is preferred - Understanding of MLOps concepts and model lifecycle management Apply on Kit Job: kitjob.ca/job/2o4ybx