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Viridien

Machine Learning Engineer

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Viridien

Viridien delivers specialized consultancy and project services across various infrastructure sectors.

Design, develop, and deploy ML models and AI tools for Earth data solutions.
11 days ago ago
Expert & Leadership (13+ years), Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Calgary, Alberta, Canada
Hybrid
Company Size
250 Employees
Service Specialisms
Construction services
Project Management
Consulting
Engineering
Property Development
Design
Technical Services
Turnkey
Sector Specialisms
Energy
Oil
Gas
Geothermal
Renewable
HPC (High Performance Computing)
Marine Logistics
Environmental
Role

Description

ml development
algorithm research
library extension
data visualization
model training
experimentation
  • Develop machine learning applications according to requirements.
  • Research and implement appropriate ML algorithms and tools.
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Extend existing ML libraries and frameworks.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Design machine learning systems
  • Select appropriate datasets and data representation methods.
  • Train and retrain systems when necessary.
  • Run machine learning tests and experiments.
  • Plan and manage data analysis workflows.

Requirements

python
machine learning
tensorflow
pytorch
data engineering
web scraping
  • Predictive Analysis
  • Web Scraping
  • Proficiency to design, build, test, and support innovative solutions.
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Strong enterprise project experience with Machine Learning and AI
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Experience within Data Engineering/Data Structuring
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Good experience with Large Language Model technologies
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Data Visualization

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found
Company

Overview

Founded in 2010
Year Established
The year the company was established, marking the beginning of its journey as a leading consultancy.
  • Specializes in delivering large-scale infrastructure projects with a focus on sustainable solutions.
  • Extensive experience across sectors including energy, transport, water resources, and buildings.
  • Strong track record in complex projects like urban regeneration and transport infrastructure.
  • Standout ability to integrate technology and data-driven insights into projects.
  • Works with diverse clients such as government bodies, private sector entities, and utilities.

Culture + Values

  • We Are Problem Solvers
  • We Are Open
  • We Are Responsible
  • We Are Driven To Go Beyond Expectations

Environment + Sustainability

Energy Efficiency
Operational Performance
Achieved Power Usage Effectiveness (PUE) of 1.33 and Water Usage Effectiveness (WUE) of 1.2 across main hubs in 2024.
1.078 ktCO2e
Carbon Footprint Scope 3
Significant portion of the company's carbon footprint来自Scope 3 emissions in 2024.
72% Renewables
Energy Consumption Source
Percentage of total energy consumption sourced from renewable sources in 2024.
  • Internal ESG policy signed by CEO in 2024 identifying key ESG elements: environment, climate, communities
  • Target:碳中和 by 2050 in scopes 1 & 2 of the GHG Protocol
  • Intermediate goal: halve 2019 levels of scope 1 & 2 GHG emissions by 2030
  • Won EcoVadis Bronze (late 2024) and Silver (2023); MSCI AA rating; CDP-aligned reporting; UN Global Compact support

Inclusion & Diversity

  • IDEA Talks and local ID&E workshops held worldwide
  • Employee resource groups leading local actions on inclusion
  • Unconscious-bias training for managers plus monitoring via engagement surveys
  • Policies on equitable hiring, promotions, rewards tied to measurable inclusion efforts
  • International Women’s Day and International Day for Elimination of Racial Discrimination observed globally
  • Leadership accountability: managers actively listen, champion inclusion and embed equity in hiring/promotions
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Machine Learning Engineer at Viridien in Calgary, Alberta, Canada