Machine Learning Engineer

CGG Services (Canada) Inc.; Calgary; On-site; CAD 90,000 - 120,000; Full time

Job summary

CGG Services (Canada) Inc. is seeking a Machine Learning Engineer in Calgary. The successful candidate will develop machine learning models and help create cutting-edge AI systems. The role requires profound programming skills and the ability to contribute to innovative projects with a team-oriented mindset.

The ideal candidate will possess a degree in a relevant field and demonstrate strong enterprise experience in machine learning, programming, and analytical challenges.

Qualifications

• Degree in a technical discipline required.
• Strong programming skills in multiple languages.
• Experience with deep learning frameworks is preferable.

Responsibilities

• Design machine learning systems.
• Collaborate with stakeholders to develop AI solutions.
• Research and implement appropriate ML algorithms and tools.
• Manage data analysis workflows.
• Support deployed models at project conclusion.

Skills

Machine Learning and AI

Programming in C, C++, R, Java, Python

Data Visualization

Deep Learning frameworks (TensorFlow/PyTorch)

Data Engineering/Data Structuring

Predictive Analysis

Statistical Modeling

Web Scraping

Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering

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.