1

Deep Learning Engineer Jobs in Alberta (NOW HIRING)

You'll dive deep into our telemetry and customer profile data. You will define the Key Performance ... GCP Professional Machine Learning Engineer Certification * Working knowledge of leveraging Claude ...

... deep learning, and 3D imaging with highprecision laser systems to create new treatment solutions to prevent vision loss. By uniting cuttingedge research with scalable engineering, PulseMedica is ...

... vision, deep learning algorithms, 3D eye imaging, and high-precision laser surgery. With a ... You'll provide both management of Electrical Engineers and technical oversight. Technical oversight ...

... vision, deep learning algorithms, 3D eye imaging, and high-precision laser surgery. With a ... Youll provide both management of Electrical Engineers and technical oversight. Technical oversight ...

New

... vision, deep learning algorithms, 3D eye imaging, and high-precision laser surgery. With a ... Youll provide both management of Electrical Engineers and technical oversight. Technical oversight ...

Senior ML Platform Engineer

Calgary, AB · On-site

CA$182K - CA$209K/yr

We blend deep AI and ML expertise with strong software engineering and cloud infrastructure skills to enable the entire lifecycle of machine learning and generative AI - spanning experimentation ...

New

... Deep Learning, Dynatrace APM, Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift ...

Senior Geotechnical Engineer

Edmonton, AB · On-site

CA$104K - CA$138K/yr

Continue your professional development through training, technical learning, and exposure to ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

Senior Geotechnical Engineer

Edmonton, AB · On-site

CA$104K - CA$138K/yr

Continue your professional development through training, technical learning, and exposure to ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ...

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ...

New

... engineering, medical physics, or a closely related field. * The candidate must have at least 2 years' experience working with medical imaging data and a working knowledge of AI and deep learning ...

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ...

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ...

New

Director of DevOps

Calgary, AB · On-site

CA$160K - CA$190K/yr

About the Opportunity We're looking for a Director of DevOps with a passion for learning, a kind ... E teams in a SaaS environment * Deep AWS infrastructure expertise, including architecture ...

... deep foundations, shallow foundations, soft/compressible soils, steep slopes, and other issues ... Learning and development opportunities for ongoing professional growth. Mentorship with world ...

Stay up to date on the latest advancements in deep learning, NLP, reinforcement learning, and other ... Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

... learning, has access to rich and massive datasets, and offers the computational resources to ... Deep knowledge of AI systems design and LLM architectures; * Professional software development ...

Stay up to date on the latest advancements in deep learning, NLP, reinforcement learning, and other ... Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ...

... deep foundations, shallow foundations, soft/compressible soils, steep slopes, and other issues ... Learning and development opportunities for ongoing professional growth. Mentorship with world ...

next page

Showing results 1-20

Deep Learning Engineer information

See Alberta salary details

$90.5K

$169.3K

$228K

How much do deep learning engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for deep learning engineer in Alberta is $169,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,500.00 and $188,000.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Alberta? For Deep Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Alberta look for? The top searched job categories for Deep Learning Engineer jobs in Alberta are:
Infographic showing various Deep Learning Engineer job openings in Alberta as of May 2026, with employment types broken down into 11% Internship, 68% Full Time, and 21% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $169,298 per year, or $81.4 per hour.

Senior Data Analyst (L4)

TELUS

Calgary, AB • On-site

Other

Posted 15 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 76 rated telecommunications companies


Job description

Description

The Opportunity

We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights. This is a unique "growth-track" role: you will start by mastering our data landscape through advanced dashboarding and telemetry analysis, then rapidly transition into building and maintaining the predictive models that drive our customer success.

If you are someone who isn't just looking for a ticket to solve, but wants to understand the why behind the numbers to proactively prevent customer issues, you'll fit right in.

The Roadmap

  • Phase 1 (Domain Mastery & KPI Strategy): You'll dive deep into our telemetry and customer profile data. You will define the Key Performance Indicators (KPIs) that matter most and build high-impact Tableau dashboards to track them
  • Phase 2 (ML Innovation & Production): Once you've mastered the domain, you will lead the transition into predictive modeling. You will own the feature engineering process and deploy models that proactively solve customer issues

What You'll Do

  • Dashboarding & Domain Learning: Initially, you will focus on building interactive and insightful Tableau dashboards. This is your foundation to learn our domain knowledge, understand customer behavior, and identify patterns in our telemetry data
  • Feature Engineering: Architect and transform raw telemetry and customer profile data into high-signal features. You will build the data pipelines that serve as the foundation for all ML initiatives
  • ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly detection, etc.). You are responsible for maintaining models in production, including setting up automated retraining pipelines to ensure accuracy as data evolves
  • Proactive Problem Solving: Use your technical expertise to identify potential customer friction points before they become issues, moving the company from a reactive to a proactive stance
  • KPI Development & Stakeholder Presentation: Collaborate with leaders to define critical business KPIs. You will act as a data storyteller, presenting key insights to executive stakeholders and translating complex ML/Data trends into clear, strategic recommendations
Qualifications

What You Bring

  • SQL Mastery: You write clean, efficient, and complex queries at an expert level. This is the core of how you interact with our data
  • BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards that drive action and help you (and the team) rapidly acquire domain knowledge
  • GCP Ecosystem: Strong experience with Google Cloud Platform, specifically BigQuery and its integration with ML tools
  • ML Ops Experience: Practical experience managing the production lifecycle, monitoring, versioning, and ensuring timely model retraining
  • The "Proactive" Edge: A strong desire to learn the business domain and grow with the company. You don't wait for instructions; you identify opportunities and solve problems before they escalate
  • Excellent Communication Skills: A proven track record of analyzing high-volume data and presenting key findings to senior-level audiences. You can explain complex technical concepts to non-technical stakeholders with ease

Preferred Qualifications (Good to Have)

  • GCP Professional Machine Learning Engineer Certification
  • Working knowledge of leveraging Claude in the workflows
  • Experience with Google Vertex AI or Kubeflow for ML orchestration
  • Background in analyzing high-volume telemetry or IoT data

Technical Stack

  • Languages: SQL (Expert), Python
  • Data Warehouse: Google BigQuery
  • Cloud Infrastructure: Google Cloud Platform (GCP)
  • Visualization: Tableau, Looker, Etc
  • ML Tools: Scikit-learn, TensorFlow/PyTorch, Vertex AI (GCP) , Claude (Anthropic)