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Added 6 mins ago
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$192,000 to $264,000 CAD / year
Full-time
…under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing static, rule-based systems with dynamic AI security…
Added 6 mins ago
System Protection Engineer III
TRC Companies, Inc.
Calgary, AB
Full-time
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Senior Full Stack Engineer
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Toronto, ON
The team is searching for a client-focused full stack engineer who is motivated to design and develop components of enterprise applications and providing consultative guidance on all…
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BS in Computer Science, Mathematics, or a related field, or equivalent professional experience.
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Staff Silicon Validation Software Engineer - 17309
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System Level Test Engineer - 18758
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Canada Off-Site, Canada Off-Site Office
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Pursuing or recent completion of a Bachelor's Degree in Computer Science, Technology, or a related field
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Senior Embedded Software Designer
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Added 1 hour ago
AI/ML Systems Engineer
Actalent
Ottawa, ON
$50 to $67 CAD / hour
Contract
Systems Engineer, AI-Powered Diagnostics & Observability
Added 1 hour ago
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Actalent

AI/ML Systems Engineer

Ottawa, ON, Canada

Pay: $50 to $67 CAD / hour
Job type: Contract
Apply by: Oct 31, 2026
Posting language: English · French
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

Systems Engineer, AI-Powered Diagnostics & Observability

About The Opportunity

Our client, a leading organization in its industry, is seeking a Systems Engineer to support the design and evolution of intelligent diagnostics and observability solutions. This role involves working across software systems, cloud technologies, AI/ML workflows, and systems engineering disciplines to help improve issue detection, diagnostic analysis, reasoning workflows, and operational effectiveness.

Key Responsibilities

Help define system-level requirements, interfaces, and workflows for advanced diagnostics and observability solutions.
Support the development of AI-enabled diagnostic capabilities that improve issue detection, case quality, root-cause analysis, and guided resolution.
Collaborate across embedded systems, cloud platforms, data environments, and AI/ML technologies to deliver integrated solutions.
Translate business, engineering, and operational needs into technical requirements for systems, APIs, workflows, and support tools.
Support AI/ML-driven capabilities such as knowledge retrieval, decision support, validation, orchestration, and diagnostic reasoning.
Define and refine requirements related to diagnostic evidence collection, including logs, event traces, system state information, and procedural outcomes.
Participate in the evaluation and validation of AI system performance using operational, diagnostic, and engineering data.
Work with internal and external teams to integrate containerized AI solutions into cloud-based environments and workflow systems.
Help define observability requirements, including metrics, traces, dashboards, alerts, logging, and escalation processes.
Participate in system integration activities, issue triage, root-cause investigations, and technical problem solving.
Support testing, deployment, and iterative improvement of AI-enabled diagnostic solutions.
Communicate technical trade-offs, risks, and recommendations to technical and business stakeholders.
Work under the guidance of experienced engineering professionals.

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or a related field.
Understanding of:
Strong proficiency in Python.
Familiarity with AI/ML engineering concepts including:
Familiarity with AI/ML prototyping and engineering workflows, such as prompt-based systems, retrieval-augmented solutions, embeddings, ranking, or reasoning pipelines.
Familiarity with software engineering fundamentals, APIs, Git-based development practices, and containerized application workflows.
Interest in embedded systems, intelligent diagnostics, and software-driven products.
Ability to translate ambiguous business or technical challenges into structured requirements and system behavior.
Strong written and verbal communication skills with the ability to document requirements and communicate effectively with stakeholders.
Demonstrated experience through professional work, internships, research, or academic projects building or prototyping AI/ML-enabled solutions.

Preferred Qualifications

Master's degree in a relevant technical discipline.
Experience with:
Experience using tools and platforms such as:
Experience developing chatbots, copilots, AI assistants, search systems, or reasoning systems.
Familiarity with AI evaluation concepts including grounding, confidence, traceability, explainability, and policy compliance.
Exposure to embedded software systems, diagnostics, connected technologies, or electronic control systems.
Familiarity with diagnostic workflows, log analysis, and operational telemetry data.
Experience with cloud platforms, Docker, GitHub, CI/CD practices, and observability tools such as Dynatrace or Grafana.
Experience with distributed systems, platform integrations, or cloud-native services.
Ability to thrive in an agile, collaborative, cross-functional environment.
Strong curiosity, ownership mindset, and willingness to learn in a technically complex domain.

Work Schedule

Hybrid work arrangement.
Required onsite presence: 4 days per week.
Candidates must be available to work onsite from the start of the assignment.
In-person interviews may be required.

Equal Opportunity Statement

Our client is committed to fostering an inclusive and equitable workplace. Qualified applicants will receive consideration for opportunities based on their skills, qualifications, and ability to perform the requirements of the role. Accommodations for applicants may be available throughout the recruitment process in accordance with applicable legislation.

Job Type & Location

This is a Contract position based out of Ottawa, ON.

Pay And Benefits

The pay range for this position is $50.00 - $67.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Workplace Type

This is a fully onsite position in Ottawa,ON.

À propos d'Actalent

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI):We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Read the full bilingual original

Help define system-level requirements, interfaces, and workflows for advanced diagnostics and observability solutions.
Support the development of AI-enabled diagnostic capabilities that improve issue detection, case quality, root-cause analysis, and guided resolution.
Collaborate across embedded systems, cloud platforms, data environments, and AI/ML technologies to deliver integrated solutions.
Translate business, engineering, and operational needs into technical requirements for systems, APIs, workflows, and support tools.
Support AI/ML-driven capabilities such as knowledge retrieval, decision support, validation, orchestration, and diagnostic reasoning.
Define and refine requirements related to diagnostic evidence collection, including logs, event traces, system state information, and procedural outcomes.
Participate in the evaluation and validation of AI system performance using operational, diagnostic, and engineering data.
Work with internal and external teams to integrate containerized AI solutions into cloud-based environments and workflow systems.
Help define observability requirements, including metrics, traces, dashboards, alerts, logging, and escalation processes.
Participate in system integration activities, issue triage, root-cause investigations, and technical problem solving.
Support testing, deployment, and iterative improvement of AI-enabled diagnostic solutions.
Communicate technical trade-offs, risks, and recommendations to technical and business stakeholders.
Work under the guidance of experienced engineering professionals.

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or a related field.
Understanding of:

Software Systems

Strong proficiency in Python.
Familiarity with AI/ML engineering concepts including:

Machine learning
Large Language Models (LLMs)
Retrieval workflows
Inference systems
Model evaluation
Data pipelines

Familiarity with AI/ML prototyping and engineering workflows, such as prompt-based systems, retrieval-augmented solutions, embeddings, ranking, or reasoning pipelines.
Familiarity with software engineering fundamentals, APIs, Git-based development practices, and containerized application workflows.
Interest in embedded systems, intelligent diagnostics, and software-driven products.
Ability to translate ambiguous business or technical challenges into structured requirements and system behavior.
Strong written and verbal communication skills with the ability to document requirements and communicate effectively with stakeholders.
Demonstrated experience through professional work, internships, research, or academic projects building or prototyping AI/ML-enabled solutions.

Preferred Qualifications

Master's degree in a relevant technical discipline.
Experience with:

LLMs
Semantic retrieval
Vector search
Ranking systems
Agent-based workflows
Decision-support systems

Experience using tools and platforms such as:

PyTorch
TensorFlow
scikit-learn
LangChain
Vertex AI
BigQuery

Experience developing chatbots, copilots, AI assistants, search systems, or reasoning systems.
Familiarity with AI evaluation concepts including grounding, confidence, traceability, explainability, and policy compliance.
Exposure to embedded software systems, diagnostics, connected technologies, or electronic control systems.
Familiarity with diagnostic workflows, log analysis, and operational telemetry data.
Experience with cloud platforms, Docker, GitHub, CI/CD practices, and observability tools such as Dynatrace or Grafana.
Experience with distributed systems, platform integrations, or cloud-native services.
Ability to thrive in an agile, collaborative, cross-functional environment.
Strong curiosity, ownership mindset, and willingness to learn in a technically complex domain.

Work Schedule

Hybrid work arrangement.
Required onsite presence: 4 days per week.
Candidates must be available to work onsite from the start of the assignment.
In-person interviews may be required.

Equal Opportunity Statement

Our client is committed to fostering an inclusive and equitable workplace. Qualified applicants will receive consideration for opportunities based on their skills, qualifications, and ability to perform the requirements of the role. Accommodations for applicants may be available throughout the recruitment process in accordance with applicable legislation.

Job Type & Location

This is a Contract position based out of Ottawa, ON.

Pay And Benefits

The pay range for this position is $50.00 - $67.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Workplace Type

This is a fully onsite position in Ottawa,ON.

À propos d'Actalent

Actalent est un leader mondial dans les services dingénierie et de sciences ainsi que dans les solutions de talents. Nous aidons des entreprises visionnaires à faire progresser leurs initiatives dingénierie et de science grâce à laccès à des experts spécialisés qui favorisent léchelle, linnovation et la rapidité de mise sur le marché. Avec un réseau de près de 20 000 consultants et 5 000 clients à travers les États-Unis, le Canada, lAsie et lEurope, Actalent dessert de nombreuses entreprises du Fortune 500. Nous sommes fiers dêtre lune des 500 meilleures firmes de conception de lEngineering News-Record (ENR) pour nos services de conception en ingénierie et un lauréat du prix ClearlyRated Best of Staffing® tant pour le service client que pour les talents.

Actalent est un employeur souscrivant au principe de légalité des chances et accepte toutes les candidatures sans tenir compte de la race, du sexe, de lâge, de la couleur, de la religion, des origines nationales, du statut dancien combattant, dun handicap, de lorientation sexuelle, de lidentité sexuelle, des renseignements génétiques ou de toute autre caractéristique protégée par la loi.

Si vous souhaitez faire une demande daccommodement raisonnable, tel que la modification ou lajustement du processus de demande demploi ou dentrevue à cause dun handicap, veuillez envoyer un courriel à actalentaccommodation@actalentservices.com pour connaître dautres options daccommodement.

Ordonnance sur légalité des chances de San Francisco: Conformément à lOrdonnance sur légalité des chances de San Francisco, pour tous les postes situés dans la ville et le comté de San Francisco, nous examinerons les candidatures des personnes qualifiées ayant un casier judiciaire ou des antécédents criminels.

Utilisation de lintelligence artificielle (IA): Nous pouvons utiliser lintelligence artificielle (IA) pour soutenir certaines étapes de notre processus dembauche, notamment la recherche, la présélection et lévaluation des candidatures. LIA aide à analyser les candidatures et les qualifications, mais les décisions finales sont prises par notre équipe de recrutement. En soumettant votre candidature, vous reconnaissez et acceptez que celle-ci puisse être examinée à laide doutils dIA.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Use of Artificial Intelligence (AI):We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Apply About employer

More about this job

Responsibilities

Define system requirements, interfaces, and workflows for AI-enabled diagnostics and observability, and help integrate solutions across embedded systems, cloud platforms, and data environments. Support AI/ML evaluation, system integration, testing, issue triage, root-cause investigations, deployment, and ongoing improvement.

Requirements

A bachelor's degree in a relevant technical field and strong Python proficiency are required, along with familiarity with AI/ML concepts, prototyping workflows, software engineering fundamentals, APIs, Git, and containers. Applicants should have demonstrated experience building or prototyping AI/ML-enabled solutions and be able to translate ambiguous needs into structured requirements and communicate effectively with stakeholders.

Skills

Python
Artificial Intelligence
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Semantic Retrieval
Vector Search
Model Evaluation
Systems Engineering
Requirements Engineering
API Integration
Containerization
Cloud Platforms
Observability
Root-Cause Analysis
Technical Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Embeddings
Semantic Retrieval
Vector Search
Ranking Systems
Agent-Based Workflows
PyTorch
TensorFlow
Scikit-Learn
LangChain
Vertex AI
BigQuery
Docker
GitHub
CI/CD
Dynatrace
Grafana
APIs
Cloud Platforms
Containerized Applications
Data Pipelines
Embedded Systems
Diagnostic Workflows
Operational Telemetry
Observability
Root-Cause Analysis
Systems Integration

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