At a Glance
- Tasks: Lead the design of AI solutions for wildfire prevention using cutting-edge technology.
- Company: Join a forward-thinking company focused on energy and utility innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on sustainability and innovation.
- Why this job: Make a real impact in preventing wildfires while advancing your tech skills.
- Qualifications: 6+ years in Data Science and strong Computer Vision expertise required.
The predicted salary is between 81000 - 99000 $ per year.
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 Ph D 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 Py Torch, Tensor Flow, Keras, NLTK, spa Cy, or Neo4j.
- Familiarity with Azure Auto ML, Amazon Sage Maker, Databricks, Data Robot, or H2O. ai.
- Strong understanding of regression, decision trees, Random Forest, Gradient Boosting, SVM, time‐series modeling, and unsupervised learning.
Computer Vision Engineer in Ottawa employer: Aptino, Inc.
Aptino, Inc. is an exceptional employer located in the vibrant city of Toronto, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Salesforce Technical Lead, you will not only have the opportunity to work on cutting-edge projects for a major Canadian banking client but also benefit from extensive employee growth opportunities, mentorship programs, and a commitment to work-life balance. Join us to be part of a forward-thinking team that values your expertise and encourages professional development in a supportive environment.
