Role: Computer Vision / AI Lead / Solution Arch | Wildfire MVP | BCH Work location: CA, remote Job Description: Hands-on manager / AI lead for engineering and architecture, building high stake MVP for wildfire prevention along Utilities transmission lines in BC Description The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly.

As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation.

As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems.

If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.





Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data Must Have Skills years qualified work experience as a data scientist or on advanced analytics / statistics projects with years’ experience in one of the following sector: Energy & Utilities, Oil & Gas Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field using R and Python Computer Vision / Image recognition, Predictive risk scoring, Asset Intelligence, Asset Inspection, Preventive Maintenance, Condition-based Maintenance, Vegetation Management...

Microsoft ecosystem (Azure Computer Vision, Azure ML, Foundry, Fabric) Nice to Have skills • Wildfire prevention solution: •Experience with Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases •Experience with common data science tools such as Python, R, Pytorch, Tensor

Flow, Keras, NLTK, Spacy, or Neoj, and a good understanding of modelling platforms (Azure AutoML, Sage

Maker, Data

Bricks, Data

Robot and •Thorough understanding of statistical model building techniques such as: A/B testing, regression methods, variable selection methods, tree-based classification models (Decision Trees, Random Forests, Gradient Boosting), non-parametric models (SVM), time series models, unsupervised learning and mathematical optimization

📌 Computer Vision / AI Lead / Solution Arch (Mississauga)
🏢 eTeam
📍 Mississauga