AI Lead Architect
- Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
Hands-on manager / AI lead for engineering and architecture, building high stake MVP for wildfire prevention along Utilities transmission lines in client,
**Description**
The AI & Analytics practice group at Client is expanding its footprint rapidly. As part of the fastest growing digital practice within Client, 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 Client 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 Client 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**
**Description**
The AI & Analytics practice group at Client is expanding its footprint rapidly. As part of the fastest growing digital practice within Client, 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 Client 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 Client 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**
- 6+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ 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)
- 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, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)
More about this job
Responsibilities
Lead engineering and architecture while building a high-stakes minimum viable product for wildfire prevention along utility transmission lines. Collaborate with client and global teams to design and build scalable AI and machine learning solutions, address business problems, and present findings to client executives.
Requirements
Requires at least six years of professional experience in data science or advanced analytics/statistics projects, including at least five years in Energy and Utilities or Oil and Gas. Requires a master's degree or PhD in a relevant field and experience with R, Python, computer vision, predictive risk scoring, asset management and maintenance, vegetation management, and Microsoft Azure tools.
Skills
- Artificial Intelligence
- Machine Learning
- Data Science
- Advanced Analytics
- Statistics
- Python
- R
- Computer Vision
- Predictive Risk Scoring
- Asset Intelligence
- Asset Inspection
- Preventive Maintenance
- Condition-Based Maintenance
- Vegetation Management
- Azure Machine Learning
- Wildfire Prevention
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Engineering
- Energy
- Management & Leadership
Keywords
- Artificial Intelligence
- Machine Learning
- Advanced Analytics
- Data Science
- Statistics
- Python
- R
- Computer Vision
- Image Recognition
- Predictive Risk Scoring
- Asset Intelligence
- Asset Inspection
- Preventive Maintenance
- Condition-Based Maintenance
- Vegetation Management
- Wildfire Prevention
- Azure Computer Vision
- Azure Machine Learning
- Microsoft Fabric
- Microsoft Foundry
- Deep Learning
- Natural Language Processing
- Sentiment Analysis
- Topic Modeling
- Graph Theory
- PyTorch
- TensorFlow
- Keras
- Neo4j
- Azure AutoML