Machine Learning Engineer, Underwriting

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and implement comprehensive machine learning pipelines, ensuring optimal efficiency in training, validation, and inference.

• Apply MLOps best practices, including CI/CD for machine learning models, model versioning, monitoring, and strategies for retraining.

• Enhance ML models through feature engineering, hyperparameter optimization, and scalable inference methodologies.

• Utilize structured and unstructured data, employing Pandas, NumPy, and SQL for effective data manipulation.

• Leverage machine learning design patterns to create modular, reusable, and production-ready models.

• Partner with data engineers to construct high-performance data pipelines for both training and inference.

• Deploy and manage models on cloud platforms (AWS, GCP, Azure) using containerization and orchestration tools such as Docker and Kubernetes.

• Ensure model performance is maintained by implementing continuous monitoring, bias detection, and techniques for explainability.

⛳️ Requirements

• Strong expertise in Python along with familiarity with machine learning libraries like Scikit-learn, LightGBM, and PyTorch.

• Comprehensive understanding of machine learning algorithms, including both supervised and unsupervised learning methods.

• Experience utilizing MLOps tools such as MLflow, Kubeflow, or SageMaker for experiment tracking and workflow automation.

• Practical experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL).

• Knowledge of cloud-based machine learning deployment and infrastructure management.

• Ability to efficiently implement both real-time and batch inference pipelines.

• Strong analytical and problem-solving abilities to convert business requirements into scalable machine learning solutions.

• Willingness to thrive in a fast-paced environment and continually enhance ML processes for improved efficiency and accuracy.

🏝️ Benefits

• Competitive compensation package for top achievers.

• Comprehensive health, dental, and vision benefits plan.

• Annual learning and home-office stipend of $1,500.

• Annual wellness stipend of $1,000.

• Monthly lunch stipend.

• Commuter benefits.

• Paid parental leave.

• 20 annual PTO days plus unlimited sick days.

• Quarterly team gatherings.

• In-office amenities.