Machine Learning Engineer

Overview

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

– Calgary, AB, Canada – Full-time

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Education

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 within one or more of these development languages - 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 experiments.

Train and retrain systems when necessary.

Extend existing ML libraries and frameworks.

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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