Machine Learning Engineer
Calgary, AB · On-site
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 ...
Machine Learning Engineer
Calgary, AB · On-site
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 ...
... series analysis. We're looking for an enthusiastic Machine Learning Researcher who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging ...
... series analysis. We're looking for an enthusiastic Machine Learning Researcher who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging ...
Manager, Machine Learning Operations (MLOps)
Calgary, AB · Hybrid
CA$140K - CA$180K/yr
Job Overview The Manager, Machine Learning Operations (MLOps) contributes to Wawanesa's success by ... Develop and advance analytic standards and processes that enable all aspects of advanced analytics ...
Manager, Machine Learning Operations (MLOps)
Calgary, AB · Hybrid
CA$140K - CA$180K/yr
Job Overview The Manager, Machine Learning Operations (MLOps) contributes to Wawanesa's success by ... Develop and advance analytic standards and processes that enable all aspects of advanced analytics ...
Staff, Machine Learning Engineer
Calgary, AB · On-site +1
The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ...
Staff, Machine Learning Engineer
Calgary, AB · On-site +1
The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ...
The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and ...
The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and ...
... analysis, registration, and related applications. * Take ownership of large ML software components ... machine learning systems for biomedical, medical imaging, or related scientific applications.
... analysis, registration, and related applications. * Take ownership of large ML software components ... machine learning systems for biomedical, medical imaging, or related scientific applications.
Senior Data Analyst
Calgary, AB · On-site +1
... and Machine Learning algorithms in a business context - Academic rigor with a propensity for ... analytics, applying advanced statistical techniques is an asset - Proven leadership and project ...
Senior Data Analyst
Calgary, AB · On-site +1
... and Machine Learning algorithms in a business context - Academic rigor with a propensity for ... analytics, applying advanced statistical techniques is an asset - Proven leadership and project ...
Develop and implement machine learning algorithms and models * Analyze and interpret large data sets to identify trends and patterns * Design and implement scalable and automated pipelines for model ...
Develop and implement machine learning algorithms and models * Analyze and interpret large data sets to identify trends and patterns * Design and implement scalable and automated pipelines for model ...
Develop and implement machine learning algorithms and models * Analyze and interpret large data sets to identify trends and patterns * Design and implement scalable and automated pipelines for model ...
Develop and implement machine learning algorithms and models * Analyze and interpret large data sets to identify trends and patterns * Design and implement scalable and automated pipelines for model ...
... error analysis and deployment * Fine-tune and adapt LLMs using domain-specific alert data ... machine learning or applied ML engineering role * Familiarity with NLP, text classification, or ...
... error analysis and deployment * Fine-tune and adapt LLMs using domain-specific alert data ... machine learning or applied ML engineering role * Familiarity with NLP, text classification, or ...
... error analysis and deployment * Fine-tune and adapt LLMs using domain-specific alert data ... machine learning or applied ML engineering role * Familiarity with NLP, text classification, or ...
... error analysis and deployment * Fine-tune and adapt LLMs using domain-specific alert data ... machine learning or applied ML engineering role * Familiarity with NLP, text classification, or ...
Senior Quantitative Analyst (Financial Markets) Take a central role The Bank of Canada has a vision ... Experience applying statistical learning or machine learning techniques to financial market ...
Senior Quantitative Analyst (Financial Markets) Take a central role The Bank of Canada has a vision ... Experience applying statistical learning or machine learning techniques to financial market ...
Minimum 7- 10 years of hands-on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows * Strong expertise in Python and experience with data ...
Minimum 7- 10 years of hands-on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows * Strong expertise in Python and experience with data ...
Minimum 7- 10 years of hands-on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows * Strong expertise in Python and experience with data ...
Minimum 7- 10 years of hands-on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows * Strong expertise in Python and experience with data ...
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases. Build and optimize data workflows using Python and SQL for ...
Quick apply
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases. Build and optimize data workflows using Python and SQL for ...
Sustainment Coordinator
Calgary, AB · On-site
... Science and Machine Learning applications from Proof of Concept (POC) through production ... analytics solutions, or custom-built applications
New
Sustainment Coordinator
Calgary, AB · On-site
... Science and Machine Learning applications from Proof of Concept (POC) through production ... analytics solutions, or custom-built applications
New
Design and deploy machine learning models (supervised/unsupervised) to automate the collection, normalization, and analysis of threat intelligence from OSINT, dark web, sharing forums and internal ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection, normalization, and analysis of threat intelligence from OSINT, dark web, sharing forums and internal ...
Directly lead, mentor, and build capability within your specialized team of workforce analysts ... Familiarity or hands-on exposure with leveraging Generative AI, machine learning forecasting ...
Directly lead, mentor, and build capability within your specialized team of workforce analysts ... Familiarity or hands-on exposure with leveraging Generative AI, machine learning forecasting ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection, normalization, and analysis of threat intelligence from OSINT, dark web, sharing forums and internal ...
Design and deploy machine learning models (supervised/unsupervised) to automate the collection, normalization, and analysis of threat intelligence from OSINT, dark web, sharing forums and internal ...
Spatially-aware machine learning models that incorporate geometry, location, and temporal context as first-class inputs. AI-powered spatial analytics and pattern detection systems that find signal in ...
Spatially-aware machine learning models that incorporate geometry, location, and temporal context as first-class inputs. AI-powered spatial analytics and pattern detection systems that find signal in ...
Machine Learning Analyst information
What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?
To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.
What is a Machine Learning Analyst job?
A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.
What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?
Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.
What are popular job titles related to Machine Learning Analyst jobs in Alberta? For Machine Learning Analyst jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Alberta look for? The top searched job categories for Machine Learning Analyst jobs in Alberta are:
Full-time
Posted 25 days ago
Job description
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
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. 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
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.
About Viridien
Sourced by ZipRecruiter
Industry
Furniture manufacturing
Company size
51 - 200 Employees
Headquarters location
Charlotte, NC, US