1

Artificial Intelligence Machine Learning Engineer Jobs in Calgary, AB

... Artificial Intelligence (AI), Generative AI, Agentic AI, Large Language Models (LLMs), and Machine ... Provide technical leadership and mentorship to architects, engineers, and analysts * Communicate AI ...

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... machine learning, deep learning and artificial intelligence techniques * Engage in hands-on ...

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... machine learning, deep learning and artificial intelligence techniques * Engage in hands-on ...

Responsibilities Data Engineering Design, develop, and implement Microsoft Fabric data lakes ... artificial intelligence, or machine learning. Direct experience in data warehousing, ETL/ELT ...

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 ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

... artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based ... Strong programming skills in Python for data analysis, automation, and visualization.

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

... artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based ... Strong programming skills in Python for data analysis, automation, and visualization.

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

Delivery Engineer - Canada

Calgary, AB ยท Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

Coursework, research, or side projects involving VLA models, LLMs, or machine learning for robotics ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lead Automation Engineer

Calgary, AB ยท On-site

CA$94K - CA$118K/yr

Design automation systems for new builds, including machine design, system architecture, and BOM ... Please note that artificial intelligence may have been used for screening, assessing, or selecting ...

Our team includes machine learning engineers, data engineers, developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI ...

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for ... AI Usage Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Calgary, AB look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Calgary, AB are:

AI Security Architect

Tcenergy

Calgary, AB โ€ข Hybrid

Full-time

Posted 17 days ago


Job description

Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

The Opportunity

The AI Security Architect reports to the Manager, Cybersecurity Technology. This role is responsible for defining, designing, and governing the security architecture for Artificial Intelligence (AI), Generative AI, Agentic AI, Large Language Models (LLMs), and Machine Learning (ML) solutions across the enterprise.

The AI Security Architect provides technical leadership to ensure AI technologies are deployed securely, comply with regulatory and governance requirements, and align with enterprise cybersecurity standards.

This role partners with business, AI governance, cloud, infrastructure, application, and cybersecurity teams to enable secure AI adoption while managing emerging AI-related risks.

What you'll do

  • Develop and maintain Enterprise Security AI security technology roadmap, standards, and reference architectures

  • Establish AI security design principles, guardrails, and governance requirements

  • Define security requirements for enterprise AI technologies, platforms, and AI-enabled solutions

  • Assess emerging AI technologies and provide security recommendations for enterprise adoption

  • Design secure architectures for enterprise AI technologies, platforms, and integrations with business and technology systems

  • Lead architecture reviews and security assessments for AI initiatives

  • Ensure security-by-design principles are embedded throughout the AI development lifecycle

  • Identify and assess AI-specific risks, including prompt injection, data poisoning, model manipulation, unauthorized model access, sensitive data exposure, agent misuse, privilege escalation, and supply chain risks

  • Develop compensating controls and mitigation strategies to reduce AI-related security risk

  • Support AI threat modeling and secure design reviews

  • Collaborate with AI Governance, Legal, Privacy, Risk, and Compliance teams to align AI security requirements with enterprise obligations

  • Ensure AI solutions align with applicable security, risk management, regulatory, industry, and internal policy requirements

  • Define AI security control requirements and governance processes

  • Provide security architecture guidance for AI workloads deployed across cloud, hybrid, and on-premises environments

  • Define requirements for identity and access management, data protection, logging and monitoring, model security, secrets management, and infrastructure security

  • Support the secure deployment and operation of enterprise AI platforms

  • Develop detection and response capabilities for AI-related threats

  • Partner with Security Operations, Threat Intelligence, and Incident Response teams to monitor and respond to AI-related risks

  • Identify opportunities to use AI to strengthen cybersecurity operations

  • Serve as the primary subject matter expert for AI security

  • Provide technical leadership and mentorship to architects, engineers, and analysts

  • Communicate AI security risks, recommendations, and architectural decisions to senior leadership

  • Influence enterprise AI investments and architectural decisions to support secure adoption

Minimum Qualifications

  • Bachelor's degree in computer science, Cybersecurity, Information Technology, Engineering, or a related field

  • 10+ years of experience in cybersecurity, security architecture, or cloud security

  • 3+ years of experience securing AI, machine learning, data science, or advanced analytics platforms

Preferred Qualifications

  • Demonstrated experience developing enterprise security architectures

  • Strong understanding of AI/ML technologies, LLMs, agentic AI frameworks, cloud security architectures, identity and access management, threat modeling, and risk management

  • Experience with enterprise cloud platforms, including AWS and Azure

  • Relevant cybersecurity, cloud security, enterprise architecture, and AI security certifications such as CISSP, CCSP, SABSA, AWS Security Specialty, Azure Security Engineer, or equivalent

  • Experience securing enterprise AI platforms, AI-enabled applications, autonomous AI systems, and advanced AI architectures

  • Experience in critical infrastructure, energy, or other regulated industries

To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. #LI-Hybrid

About our business

We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs-moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.

TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.

All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.

Learn more

Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.

Thank you for considering TC Energy in your career journey.