Computer Vision Engineer

On-site
Posted Oct 28, 2026
1 position

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Employment type: Contract
Experience level: Senior · 6+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Lead the architecture and development of an AI-powered wildfire prevention solution, including computer vision systems and predictive risk-scoring models for utility assets. Implement scalable AI/ML solutions on Azure, collaborate with technical teams and stakeholders, and present recommendations to senior leaders.

Job details

About the Role We are looking for an experienced Computer Vision / AI Lead / Solution Architect to lead the design and development of an AI-powered wildfire prevention solution for utility transmission lines in British Columbia. The ideal candidate will combine hands-on expertise in Computer Vision, Machine Learning, Predictive Analytics, and AI solution architecture with strong experience in the Energy & Utilities or Oil & Gas industry. Key Responsibilities Lead the technical design, architecture, and development of an AI-powered wildfire prevention MVP. Develop Computer Vision and image recognition solutions to identify potential risks and hazardous conditions. Build predictive risk-scoring models for asset intelligence, inspection, vegetation management, and preventive maintenance. Design and implement scalable AI/ML solutions using Microsoft Azure technologies. Apply statistical modeling and Machine Learning techniques to solve complex business problems. Collaborate with engineering teams, business stakeholders, and client leadership to deliver AI solutions. Guide technical teams, communicate findings, and present recommendations to senior stakeholders. Must-Have Skills 6+ years of professional experience in Data Science, Advanced Analytics, or Statistics. 5+ years of experience in the Energy & Utilities or Oil & Gas industry. Master's degree or PhD in Computer Science, Statistics, Mathematics, Economics, or a related field. Strong hands-on experience in Computer Vision and Image Recognition. Experience with predictive risk scoring, asset intelligence, asset inspection, preventive maintenance, or vegetation management. Proficiency in Python and R. Experience with Microsoft Azure AI technologies, including Azure Computer Vision, Azure Machine Learning, Microsoft Foundry, or Microsoft Fabric. Strong technical leadership and AI solution architecture experience. Nice-to-Have Skills Experience developing wildfire prevention or vegetation management solutions. Knowledge of Deep Learning, NLP, sentiment analysis, topic modeling, and graph technologies. Experience with PyTorch, TensorFlow, Keras, NLTK, spaCy, or Neo4j. Familiarity with Azure AutoML, Amazon SageMaker, Databricks, DataRobot, or H2O.ai. Strong understanding of regression, decision trees, Random Forest, Gradient Boosting, SVM, time-series modeling, and unsupervised learning. Interested? If you have strong Computer Vision and AI leadership experience, particularly in the Energy & Utilities or Oil & Gas sector, we would love to hear from you.

What you’ll do

Requirements

Requires at least 6 years of experience in data science, advanced analytics, or statistics, and at least 5 years in Energy & Utilities or Oil & Gas, along with a master's degree or PhD in a relevant field. Candidates should have hands-on computer vision and image recognition expertise, proficiency in Python and R, Azure AI experience, and strong technical leadership and solution architecture skills.