Location: AlbertaSummary of the roleIn this role, you'll be dedicated to researching, designing, and deploying advanced machine learning solutions that transform large volumes of unstructured textual data into meaningful, actionable insights. The Machine Learning Scientist will play a key part in developing information-extraction models, text-classification systems, and intelligent recommendation engines-directly supporting our enterprise clients across construction, engineering, consulting, and software.
You will also contribute to the evolution of our cutting-edge market intelligence platform powered by our generative AI Copilot, Oliver, which helps customers detect opportunities early through comprehensive and data-driven insights. Joining our agile scale-up environment means stepping into a culture where innovation, collaboration, and rapid problem-solving define how we build and deliver value.
Main responsibilities:- Research & Innovation: Explore, test, and compare state-of-the-art machine learning and NLP techniques to address complex text-based challenges.
- Information Extraction: Design models that automatically identify entities, relationships, and key concepts within large unstructured datasets.
- Text Classification: Build and optimize classification systems to categorize documents by themes, intent, or industry context.
- Recommendation Systems: Develop algorithms that deliver personalized, relevant content recommendations to users of our intelligence platform.
- Model Deployment & Maintenance: Implement production-ready ML solutions, monitor their performance, and continuously improve model accuracy and reliability.
- Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to enhance Oliver's capabilities and support platform innovation.
- Develop, deploy, and maintain production-ready scalable ML models
- Develop and test data processing pipelines
- Stay up to date with the state of the art in NLP research
Desired profile:- Ability to comfortably switch between independent and collaborative work
- Excellent organizational skills and able to balance multiple projects
- In-depth knowledge and experience with LLMs
- Knowledge of recommender systems and data mining is a plus
Qualifications:- M.Sc. in computer science, statistics, applied mathematics, data science, or related fields
- Excellent knowledge and experience with various machine learning packages and models (e.g.,PyTorch, Scikit-Learn)
- Experience with ML lifecycle tools (e.g.MLflow,dvc, weights & biases)
- Experience developing workflows and models on cloud platforms (e.g., AWS, GCP)
- Required: Authorized to work in Canada-unfortunately we are not able to sponsor work visas or transfers at this time.
Thank you for your interest in SOVRA. However, only selected candidates will be contacted.
