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Learning Ai Jobs in Calgary, AB (NOW HIRING)

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...

Developer Advocate, AI Enablement

Calgary, AB · On-site +1

CA$93K - CA$141K/yr

Collaborate with Learning & Development to embed AI capability pathways into firm-wide learning programs. AI Agent Development Support * Guide service lines in identifying high-value workflows for AI ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...

Sr. AI Engineer

Calgary, AB · On-site

CA$91K - CA$114K/yr

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

... learning and development. * We support your achievement of personal goals outside of the office and ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Data Architect

Calgary, AB · On-site +1

CA$109K - CA$145K/yr

Aligns architecture patterns, data models, and integration approaches to enable scalable, composable data platforms supporting analytics, artificial Intelligence and machine Learning (AI/ML), and ...

New

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

Ai Engineer

Calgary, AB · Remote

CA$190K - CA$215K/yr

This role involves working on a cross-functional pod to build complex, integration-heavy digital platforms, including AI-native systems like agentic learning platforms. The focus is on enhancing ...

Showing results 21-40

Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Learning Ai jobs in Calgary, AB?

For Learning Ai jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Learning Ai jobs in Calgary, AB look for?

The top searched job categories for Learning Ai jobs in Calgary, AB are:

Intermediate Spatial Ecologist

WSP

Calgary, AB • On-site, Remote

CA$43.90 - CA$60.40/hr

Full-time

Re-posted 4 days ago


WSP rating

8.6

Company rating: 8.6 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

18th of 72 rated business consultants


Job description

What if you could redefine what's possible?

With us, you can. You want Purpose. Growth. Opportunity. People who get it.
We are the home of ambitious, passionate, and innovative world shapers.
With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global minds unite to power local solutions.
We are pathfinders and impact makers.
We are Visioneers. 

We are WSP.


The Opportunity

WSP is seeking an Intermediate Spatial Ecologist with strong geospatial and analytical expertise to join our Ecology team. The successful candidate will join a team committed to advancing innovative approaches to ecological assessment and environmental planning. In this role, you will help integrate emerging technologies-including artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based geospatial analytics-with traditional ecological expertise to improve the efficiency, accuracy, and scalability of environmental decision-making.

At WSP, you'll be part of a growing team of environmental professionals working on complex projects across Canada and beyond, helping clients address today's environmental challenges while preparing for tomorrow's opportunities

This position is hybrid and can be located in any of our Canadian offices, with the possibility of remote for the right candidate.


Your Impact

  • Analyze ecological and spatial datasets and interpret results to support projects across multiple sectors.
  • Develop, manage, and execute Python and GIS workflows, including spatial modeling, geoprocessing, automation, and map production.
  • Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects analysis.
  • Create clear and compelling data visualizations using Python and/or R.
  • Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation products, with field-based ecological data to support environmental assessments and monitoring programs.
  • Conduct exploratory data analysis and statistical analyses using Python and/or R.
  • Prepare technical reports, ensuring transparent documentation of analytical methods and results.
  • Contribute to data management, QA/QC processes, and reproducible analytical workflows.
  • Collaborate with multidisciplinary teams and contribute to project coordination and execution.

The Skills That Set You Apart

Minimum Qualifications

  • Master's degree in Ecology, Data Science, Environmental Science, or a related field.
  • 10+ years of relevant experience in applied spatial ecology or environmental consulting.
  • Strong proficiency in GIS platforms such as ArcGIS Pro or QGIS, including spatial analysis and geoprocessing.
  • Strong programming skills in Python for data analysis, automation, and visualization.
  • Demonstrated ability to analyze ecological data and interpret results in an applied context.
  • Experience preparing technical reports and communicating analytical results to diverse audiences.
  • Experience working with large geospatial and ecological datasets, including remote sensing and Earth observation products.

Preferred Qualifications

  • Proficiency in R for statistical analysis and ecological modeling.
  • Experience with statistical modeling approaches such as resource selection functions, occupancy models, habitat suitability models, or connectivity analyses.
  • Experience working with large and diverse ecological datasets, including GPS telemetry, wildlife surveys, and remote sensing data.
  • Strong data management, visualization, and reproducibility practices.
  • Excellent communication and stakeholder engagement skills.
  • Familiarity with cloud-based geospatial platforms such as Google Earth Engine, Microsoft Planetary Computer, or equivalent environments.
  • Experience developing automated workflows for biodiversity monitoring, habitat mapping, land-cover classification, change detection, or cumulative effects assessment.
  • Experience integrating AI-assisted approaches for image analysis, acoustic monitoring, camera trap processing, species detection, or ecological forecasting.

Why Choose WSP?

We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home.

  • Proudly Canadian - we are a Top 100 Employer in Canada for 2026.
  • A global community of brilliant minds - your next idea, mentor, or opportunity is always within reach.
  • Limitless opportunities start here. Whether it's across the country or around the globe, we help you tailor your role to match your ambition - because your growth drives ours.
  • Flexible work, real balance - we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.

#WeAreWSP


Compensation

AB, BC, NT, NU, SK & YT: $48.10 - $63.70 per hour
MB & ON: $43.90 - $60.40 per hour
NB, NL, NS, PE & QC: $43.40 - $57.70 per hour

Disclosure:
The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.


Ready to Shape the Future?
Apply today and discover how WSP can help you build a career that makes a lasting impact, on projects, communities, and the environment.

At WSP, we exist to shape communities to advance humanity.
It's why we bring people together who are wired to solve complex challenges - engineers, scientists, advisors, and technical experts who are driven by a common passion - to redefine what's possible and shape what comes next. We are Visioneers.
As one of the world's leading professional services firms, we partner with clients across transportation, infrastructure, environment, buildings, energy, water, mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting, positive impact.
At WSP, you'll join a community of brilliant minds that push boundaries every day - applying deep expertise and fuelling innovation to help create a more connected and resilient future. Here, your ideas are valued, your growth is supported, and you are encouraged to bring your authentic self to work. We empower our people to collaborate across disciplines, challenge the status quo, and shape a career with purpose.
Join us.
Please Note:
Health and Safety is a core paramount value of WSP. Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Full details here.
Some safety-sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits).
WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
WSP is committed to the principles of employment equity. Only the candidates selected will be contacted.
WSP does not accept unsolicited resumes from agencies. Full details here.

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