Software Engineer II - Machine Learning (B3617)
661 University Avenue, Toronto, Ontario, Canada
CAD 81K-115K Mid-level Full Time
Tasks
- Apply latest AI ML advancements to improve systems
- Architect scalable machine learning and GenAI systems
- Build CI CD pipelines for model deployment and retraining
- Build and deploy model deployment and monitoring pipelines
- Collaborate with platform scientists and product owners to implement production AI ML solutions
- Continuously monitor model performance in production
- Develop and deploy production GenAI systems
- Develop and integrate model serving frameworks
- Develop batch and real time model inference pipelines
- Perform data analysis data preprocessing and feature engineering
- Perform end-to-end integration testing
- Provide technical leadership for scalable reliable secure solutions
Perks/Benefits
- Career development
- Health and well-being benefits
- Mentoring programs
- Paid time off
- Skill development
- Training and onboarding
Skills/Tech-stack
AIOps | AWS | Agentic AI | Azure | Azure Data | Azure Data Factory | Azure Machine Learning | CI/CD | Container Orchestration | Data Factory | Data Preprocessing | Databricks | Deep learning | Docker | Feature Engineering | Fine Tuning | Java | Kubernetes | LLM Fine-tuning | LLM serving | Language Models | Large Language Models | MLOps | Machine Learning | PySpark | PyTorch | Python | RAG | Scala
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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