1 result for Full Stack Developer in Edmonton, AB
Machine Learning Engineer
- Edmonton, AB
- onsite
- Permanent
-
80000.00 - 100000.00 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>
- 2026-05-20T22:23:43Z
