ML Engineer / Toronto
Intersog
- Toronto, ON
- Permanent
- Full-time
- Develop and manage ML model pipelines, focusing on feature engineering, model training, and inferencing.
- Scale ML algorithms for large data sets under strict service level agreements (SLAs).
- Enhance ML Engineering platforms and ensure the implementation of MLOps practices for model monitoring and feedback loops.
- Write clean, production-quality code that adheres to best practices and design guidelines.
- Work collaboratively with global teams to deliver projects, utilizing development and project management tools to maintain organization and communication.
- Engage in continuous learning to stay abreast of new technologies and methodologies in ML architecture and design.
- Bachelor's or Master's in Computer Science, MIS, IT, or related fields.
- 2-4 years of experience in deploying production-level ML models.
- Proficiency in Python / PySpark and experience with ML platforms (e.g., Dataiku, Sagemaker, MLFlow).
- Skilled in deploying models to cloud services (AWS, Azure, GCP) and optimizing ML models for performance and scalability.
- Solid understanding of machine learning, deep learning fundamentals, common data structures, algorithms, and design patterns.
- Excellent communication skills, both verbal and written.