Sr Embedded Machine Learning Engineer

Senior-level Application Release Engineer to enhance software delivery and release management using automation-first approaches. Focuses on scalability, reliability, and efficiency in a financial services environment.

Seeking a Machine Learning Engineer to architect and optimize deep neural networks for real-time object detection and tracking on edge devices, translating research into production-ready solutions.

Develop and maintain machine learning models and systems to detect fraudulent transactions and behavior, build scalable feature pipelines, and optimize model performance using MLOps best practices.

Seeking a Senior Software Engineer II with machine learning expertise to develop and enhance platform products. Responsibilities include designing and deploying ML algorithms, working with large datasets, and building ML frameworks. Requires strong Python, PyTorch, TensorFlow, and data engineering skills.

Builds ML models and systems for search ranking, relevance, and LLM-driven features. Owns A/B testing and experimentation frameworks for production systems.

Seeking a Senior Machine Learning Engineer to design, build, and operate data and ML infrastructure for AI at scale on the City of Toronto's AWS-based Enterprise Data Platform. Focus is on engineering foundations and deployment frameworks.

Seeking a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions in cloud/on-premise environments. Requires Python, Snowflake, AWS, and Linux.

Develops and deploys ML models and pipelines at scale, working at the intersection of blockchain and AI.

Machine Learning Engineer on GenAI team to lead development of data science products for operational efficiency and customer satisfaction. Focus on predictive analytics, forecasting, and supply chain optimization using Python.