ZipRecruiter

Log In

1

Deep Learning Engineer Jobs in Alberta (NOW HIRING)

Fullscript

Staff, Security Engineer

Calgary, AB · Remote

This role is ideal for someone who started their career in software engineering and developed deep ... Continuous learning opportunities to grow your skills and career Why Fullscript Great work happens ...

Spgi

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 ...

Spgi

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 ...

Tetra Tech

Geotechnical Engineer

Lethbridge, AB · On-site

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

Tetra Tech

Junior Geotechnical Engineer

Lethbridge, AB · On-site

... deep fills. * Evaluating geotechnical conditions for the design and construction of residential ... Learning and development opportunities for ongoing professional growth. Mentorship with world ...

previous pagenext page

Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Alberta

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 Sep 11, 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?

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 does a deep learning engineer do?

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 skills and qualifications does a deep learning engineer need?

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.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

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:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,298 per year, or $81.4 per hour.

Junior Advisor, Asset Analytics

Calgary, AB • On-site

BBA, Inc.
See more jobs at BBA, Inc.external

Full-time

Re-posted 7 days ago

Job description

An overviewof your future role

BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.

This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.

With us, you'll get the opportunity to... 

  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first

Apply