Machine Learning Engineer
Viridien View all jobs
- Calgary, AB
- Permanent
- Full-time
- 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.
- Data Visualization
- Predictive Analysis
- Statistical Modeling
- Data Mining
- Clustering & Classification
- Data Analytics
- Quantitative Analysis
- Web Scraping
- Model Development
- 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.