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Edge Ai Machine Learning Jobs in Edmonton, AB (NOW HIRING)

National Bank

Senior Data Scientist

Edmonton, AB · On-site

Design, develop, validate, and deploy machine learning, statistical, and generative artificial ... Your team Within the Western Excellence Center AI and Transformation Delivery department, you are ...

AltaML

Senior AI Architect

Edmonton, AB · Hybrid

CA$130K - CA$160K/yr

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI. Competitive Benefits - For all full time, permanent employees. Office as a ...

Promise Robotics

Software Developer

Edmonton, AB

Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lantern

Data Architect

Edmonton, AB

... AI. The Data Architect will be responsible for working with our clients to understand their ... machine learning. Conducting customer-facing strategic workshops and assessments of existing data ...

National Bank

Senior Analyst

Edmonton, AB · On-site

Knowledge of AI and Machine Learning would be an asset. * Excellent analytical skills to identify ... Our dynamic work environments and cutting-edge collaboration tools foster a positive employee ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

Train machine learning systems using data annotation and benchmarking techniques. Help your colleagues assess AI/ML model performance and propose paths for potential improvement. Prepare data ...

National Bank

Senior Analyst

Edmonton, AB · Hybrid

Knowledge of AI and Machine Learning would be an asset. Excellent analytical skills to identify the ... Our dynamic work environments and cutting-edge collaboration tools foster a positive employee ...

PCL Construction

Data Science Student

Edmonton, AB

... machine learning systems using data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data ...

PCL Construction

Data Science Student

Edmonton, AB

... machine learning systems using data annotation and benchmarking techniques. • Help your colleagues assess AI/ML model performance and propose paths for potential improvement. • Prepare data ...

Mars

Data Analyst

Edmonton, AB · On-site

Experience with advanced analytics techniques such as machine learning or predictive modelingpreferred. * Experience in Generative AI development preferred. * Familiarity with Databricks preferred.

TELUS

Intermediate L3 Software Developer

Edmonton, AB · On-site

Experience with AI implementation, machine learning libraries, or working with AI APIs Advanced knowledge of English is required because you will most of the time interact in English with external ...

Hubbell Incorporated

Sr Research Engineer

Edmonton, AB · On-site

Research activities span sensors, controls, communications, analytics (including machine learning and AI), cloud computing, embedded systems, and electronic and electro-mechanical devices. This work ...

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Showing results 21-40

All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Edmonton, AB

Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Edmonton, AB as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution.

Senior Data Scientist

National Bank

Edmonton, AB • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery team at National Bank means acting as a specialist in advanced analytics, machine learning, and artificial intelligence solutions. This job allows you to have a positive impact on our organization thanks to your experience in designing, deploying, and operationalizing data science solutions that improve client experience, strengthen risk management, and support operational efficiency.

Your role

  • Frame high-impact analytics and artificial intelligence mandates with partners, clarify business needs, and translate them into concrete data science solutions.
  • Design, develop, validate, and deploy machine learning, statistical, and generative artificial intelligence models, including large language model solutions and retrieval-augmented generation.
  • Perform exploratory data analysis, feature engineering, model experimentation, and communicate findings through clear recommendations that support decision-making.
  • Implement model lifecycle practices, including model operations, continuous integration and delivery, monitoring, issue resolution, performance tracking, and audit-ready documentation.
  • Define and promote development best practices, standards, reusable patterns, and strong documentation practices for models, data lineage, assumptions, and artificial intelligence processes.
  • Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to help teams adopt new methods and tools.

Your team

Within the Western Excellence Center AI and Transformation Delivery department, you are part of a multidisciplinary team working closely with artificial intelligence, data governance, infrastructure, information architecture, security, database and data warehouse administration, business analysis, quality assurance, and business stakeholder teams. You report to the management team and operate with autonomy within established standards. Our team stands out for its focus on innovation, knowledge sharing, and continuous improvement. We aim to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Requirements

  • Hold a degree in computer science, engineering, data science, statistics, or another related field, combined with 3 to 5 years of experience delivering production analytics or machine learning solutions.
  • Have strong programming and data skills with tools and languages such as Python, Structured Query Language, Rust, JavaScript, C, C++, SAS, or R, as well as experience with relational databases.
  • Have experience with data wrangling, preprocessing, visualization, extract-transform-load processes, and tools such as SAS Viya or equivalent platforms.
  • Have experience with model management, model operations tools, continuous integration and delivery pipelines, source control, and modern development environments.
  • Have practical knowledge of containers, orchestration, cloud environments such as Amazon Web Services or Microsoft Azure, and production deployment practices.
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

Apply