| Company |
Bombardier |
| Job title |
Data Scientist |
| Job location |
Dorval, Québec, CA |
| Type |
Full Time |
Responsibilities:
- Design and develop machine learning and AI models using Azure Databricks.
- Use curated data from the data platform to create predictive, prescriptive, and descriptive models that address business needs.
- Deploy models into production using Azure Databricks and other Azure ecosystem tools.
- Monitor and maintain models to ensure accuracy, performance, and reliability over time.
- Partner with the data engineering team to access and prepare high-quality datasets for model development.
- Work closely with application developers to integrate AI models into AI-enabled applications seamlessly.
- Conduct experiments to evaluate model performance and optimize algorithms for accuracy and efficiency.
- Use Azure Databricks’ model registry to track and manage model versions and performance.
- Document model development processes, assumptions, and outcomes for transparency and reproducibility.
- Share insights and findings with stakeholders to drive data-driven decision-making
Requirements & Skills:
- Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
- 5+ years of professional experience in data science and machine learning, with a focus on model development and deployment.
- Hands-on experience with Azure Databricks, including its model registry and data catalog.
- Experience developing machine learning models using Python and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- You are autonomous, innovative, and dynamic;
- Proficiency in Python, SQL, and Spark for data processing and model development.
- Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
- Familiarity with Azure ML and other Azure ecosystem tools for model deployment and monitoring.
- Experience with CI/CD workflows for AI/ML engineering is an asset.
- Strong analytical and problem-solving skills with attention to detail.
- Demonstrated passion for staying ahead of industry trends and bringing fresh ideas to complex problems.
- Interest in exploring and incorporating the latest advancements in AI/ML into projects.
