3 results for Qa Automation 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>
- 2026-05-20T00:00:00Z
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
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