Senior Software Engineer, AI job opportunity at Thomson Reuters.

Bachelor's (B.Sc.)

Toronto, Ontario, Canada

Toronto, Ontar..........Canada

In this opportunity as Senior Software Engineer, AI you will perform the following responsibilities Development & Implementation Develop and maintain AI/ML features under the guidance of senior team members Implement machine learning models and integrate them into software applications Write clean, well-documented code following established coding standards Participate in the full software development lifecycle for AI/ML projects Assist in building data pipelines and preprocessing workflows Support model deployment and monitoring activities __ Collaboration & Growth Work closely with senior engineers to understand AI/ML system architecture Collaborate with data scientists to implement proof-of-concept models Participate in code reviews and incorporate feedback to improve code quality Attend team meetings and contribute to technical discussions Document development processes and create technical specifications Stay updated on AI/ML trends and technologies through continuous learning __ Performance & Optimization Monitor and optimize model #performance, #latency, and #resource utilization Implement A/B testing frameworks for AI/ML features Debug and troubleshoot complex AI/ML systems in production environments Ensure models are robust, reliable, and perform well at scale Software Engineering Excellence: Write clean, well-tested, and maintainable code in Python (or other relevant languages). Develop and integrate RESTful APIs and microservices to expose AI/ML capabilities to internal and external systems. Implement robust monitoring, logging, and alerting for AI/ML models and systems in production. Optimize model inference for speed and efficiency. Contribute to the full software development lifecycle, from requirements gathering and design to deployment, monitoring, and maintenance. __ Technical Foundation Programming Languages: Proficiency in Python; familiarity with Java, JavaScript, or C++ is a plus ML Basics: Understanding of fundamental machine learning concepts and algorithms Frameworks: Basic experience with at least one ML framework (TensorFlow, PyTorch, scikit-learn) Software Development: Knowledge of version control (Git), testing, and debugging Data Handling: Experience with data manipulation using pandas, NumPy, or similar libraries Databases: Basic SQL knowledge and understanding of database concepts