6 results for Ai Engineer jobs
Machine Learning Engineer
- Edmonton, AB
- onsite
- Permanent
-
80000 - 100000 CAD / Yearly
- <p><strong>AI & Machine Learning Software Developer</strong></p><p>Please note that the successful candidate must be based in Edmonton or Calgary, as this is a hybrid role with in-office days on Monday and Wednesday.</p><p>Our client is seeking a highly motivated <strong>AI & Machine Learning Software Developer</strong> to join their growing product and engineering team. Reporting to senior product leadership and working closely with advisors and cross-functional stakeholders, this role will play a key part in shaping how modern AI technologies are applied in a production software environment.</p><p>This is an opportunity to experiment, prototype, and bring AI-driven features to life. The successful candidate will work with modern large language models, build NLP and retrieval pipelines, and translate research into meaningful product capabilities.</p><p><strong>Position Overview</strong></p><ul><li>Full-time, permanent role</li><li>Hybrid work environment</li></ul><p><strong>About the Opportunity</strong></p><p>Our client is a Canadian-based technology company developing a SaaS platform designed to help organizations manage and improve their engagement, communication, and relationship workflows. Their solution enables users to track interactions, manage information, and generate insights that support better decision-making.</p><p>The organization offers a collaborative and fast-paced environment where innovation, experimentation, and continuous improvement are encouraged. Employees benefit from a supportive culture, competitive compensation, and a comprehensive benefits package.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collaborate with product and engineering teams to define requirements and identify opportunities where AI/ML can enhance product capabilities</li><li>Research, prototype, and implement AI-driven features from concept through to production</li><li>Design and run experiments, including defining evaluation criteria and refining prompts, retrieval strategies, and model selection</li><li>Integrate and orchestrate large language models into applications, including prompt engineering, embeddings, and vector search</li><li>Develop and deploy NLP solutions such as classification, summarization, sentiment analysis, and entity extraction</li><li>Build and maintain scalable AI/ML pipelines and production systems</li><li>Monitor model performance and continuously optimize solutions post-deployment</li><li>Support data analysis and data normalization initiatives</li><li>Contribute to technical documentation and support research and development activities</li><li>Stay current with emerging trends in AI, machine learning, and natural language processing</li><li>Participate in agile development processes, including backlog refinement and troubleshooting</li></ul><p><br></p>
- 2026-06-04T00:00:00Z
Quality Assurance Engineer
- Calgary, AB
- onsite
- Permanent
-
80000 - 90000 CAD / Yearly
- <p><strong>THE ROLE:</strong> </p><p>We’re looking for a skilled Quality Assurance Engineer who excels in automation and thrives in a fast‑moving Agile environment. In this position, you’ll partner closely with development teams to ensure reliable, high‑quality software delivery across modern frontend and cloud-based platforms.</p><p><em>Key Responsibilities:</em></p><ul><li>Create, maintain, and optimize automated test suites for frontend applications</li><li>Build and execute end‑to‑end test automation using Playwright, TypeScript, and/or C#</li><li>Validate test coverage for React applications and ensure strong QA integration within the SDLC</li><li>Implement risk‑based testing approaches and develop robust automated regression strategies</li><li>Integrate automated tests into CI/CD pipelines (GitLab) to support smooth deployments</li><li>Perform API testing and verify integrations with external systems</li><li>Utilize cloud-based environments (AWS, Docker, Kubernetes) during test execution</li><li>Collaborate across technical and non‑technical teams and actively participate in Agile ceremonies</li></ul><p><strong>WHY THIS ROLE?</strong></p><p>This role offers the chance to shape quality standards within a modern, cloud‑driven tech environment while working with advanced automation frameworks and AI‑enhanced testing tools. You’ll be part of a collaborative team that values innovation, efficiency, and continuous improvement. You’ll enjoy competitive compensation, comprehensive benefits, and opportunities to grow your technical expertise.</p>
- 2026-05-29T00:00:00Z
Antenna Structure Engineer
- Ottawa, ON
- onsite
- Permanent
-
120000 - 140000 CAD / Yearly
- <p>We are looking for an accomplished Antenna Structure Engineer to contribute to satellite antenna infrastructure initiatives for a federal consulting environment in Ottawa, Ontario. This position focuses on engineering design, structural assessment, foundation considerations, and the preparation of clear technical documentation to support complex project delivery. The successful candidate will bring deep expertise in antenna systems and related network infrastructure while working closely with stakeholders to advance reliable, compliant solutions.</p><p><br></p><p>Responsibilities:</p><ul><li>Perform <strong>analysis, design, and/or implementation</strong> of antenna structures and their foundations</li><li>Contribute to the delivery of <strong>satellite antenna infrastructure projects</strong></li><li>Develop and author <strong>technical project documentation</strong>, including:</li><li>Statements of Work (SOW)</li><li>Statements of Requirements (SOR)</li><li>Technical specifications</li><li>Support engineering activities across the full project lifecycle</li><li>Collaborate with cross-functional teams to ensure compliance with federal standards and project requirements</li></ul><p><br></p>
- 2026-05-22T00:00:00Z
Deployment Engineer
- Calgary, AB
- onsite
- Contract / Temporary
-
0 - 0 CAD / Yearly
- <p>Our Calgary-based client is seeking an Overnight Deployment Engineer to support the remote deployment and installation of application updates across their Point of Sale (POS) environment. This is a 4-week contract engagement, requiring 4–6 hours per night, with shifts typically starting at 10:00 PM MST.</p><p><br></p><p>This role is critical to ensuring updates are completed outside of business hours with minimal disruption, and will involve working as part of a remote deployment team.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Perform remote deployment and installation of application updates across POS systems</li><li>Execute deployments during overnight maintenance windows while ensuring system stability</li><li>Monitor deployment progress, validate successful installations, and address failures</li><li>Troubleshoot installation issues and escalate where required following established procedures</li><li>Document deployment outcomes, issues, and resolutions</li><li>Collaborate with a remote team to coordinate deployment activities and ensure timelines are met</li></ul>
- 2026-05-28T00:00:00Z
Senior AI Solutions Architect
- Mississauga, ON
- remote
- Permanent
-
170000 - 200000 CAD / Yearly
- <p>We are looking for a Senior AI Solutions Architect to lead the delivery of advanced AI and machine learning solutions. This role combines deep technical execution with architectural leadership, helping move promising concepts into stable, production-ready applications that support critical business operations. You will collaborate with senior AI and engineering leaders to design scalable systems, guide implementation decisions, and ensure solutions create measurable operational and commercial value.</p><p><br></p><p>This role is 100% Remote.</p><p><br></p><p>Responsibilities:</p><p>• Design and lead the end-to-end architecture of AI and ML solutions, taking initiatives from early experimentation through reliable production deployment.</p><p>• Partner with AI leadership and cross-functional engineering teams to align technical roadmaps with business priorities and operational goals.</p><p>• Build, evaluate, and optimize machine learning models and AI-powered applications for high-availability environments serving large user populations.</p><p>• Establish robust MLOps and DevOps practices, including model tracking, containerization, orchestration, automated testing, and deployment pipelines.</p><p>• Select and integrate appropriate cloud, data, and infrastructure services across platforms such as Azure, AWS, and Google Cloud to support scalable AI workloads.</p><p>• Guide the development of data pipelines and platform components using technologies such as Kafka, Spark, SQL, and NoSQL systems to enable dependable model performance.</p><p>• Apply methods such as large language models, fine-tuning, privacy-aware AI techniques, and optimization approaches to solve complex operational challenges.</p><p>• Provide technical leadership through influence and credibility, helping stakeholders understand solution design, adoption considerations, and implementation impacts.</p>
- 2026-05-19T00:00:00Z
Data Engineer
- Toronto, ON
- onsite
- Permanent
-
100000 - 120000 CAD / Yearly
- <p>Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their <strong>Data Engineering</strong> team to meet rising demand from the business.</p><p>This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data.</p><p><br></p><p><strong>What you’ll be doing</strong></p><ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul><p><strong>Tech environment</strong></p><ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li><em>(Marketing Cloud / CRM / customer data experience is highly relevant)</em></li></ul><p><br></p>
- 2026-05-14T00:00:00Z