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Entry Level Data Visualization Engineer Jobs in Calgary, AB

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Data Visualization * Predictive Analysis * Statistical Modeling * Data Mining * Clustering ...

Knowledge of Engineer-to-Order (ETO) supply chain models * Advanced Tableau proficiency for dashboard creation and data visualization Intermediate knowledge of English is required because you will ...

... visualization. * Experience with mobile data collection using EQuIS Collect, Field Maps for ArcGIS, Survey123, and Tablogs a plus. * Exposure to database or programming platforms (for example ...

Bachelor's degree in Business, Information Systems, Engineering, or related field (or equivalent ... Proficiency in Microsoft 365; exposure to Power Platform, AI tools, data visualization, or low-code ...

Environmental Scientist/Engineer (Contaminated Sites) for an entry-level position involved in the ... Collects and enters data and applies technical principles and theories under supervision. Health ...

DATA MANAGEMENT & CREATION * Create and update spatial features (tracts, project footprints, third ... MAPPING & VISUALIZATION * Produce print maps, map books, and figures using standardized templates

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... PhD or Master's in Geophysics, Physics, Electrical/Mechanical Engineering, Mathematics, Applied ...

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Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 9 days ago


Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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