- Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges- Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies- Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans- Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives- Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems- Make independent decisions on program, technical or operational strategy for the department- Drive innovation across areas of responsibility identifying opportunities for operational changes and practices- Lead cross functional collaboration efforts, fostering robust internal relationships across the organization and external relationships to drive business outcomesRequirements- Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field- 10+ years of experience leading high-impact machine learning solutions in a product-centric environment- Experience managing/mentoring high-performing teams of data scientists and engineers- Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders- Deep expertise in machine learning, statistics,



and data science with experience in optimization, A/B testing, and causal inference- Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines- Exceptional communication skills and ability to translate complex concepts to diverse audiences- Demonstrated a mastery of end-to‑end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scale- Proven ability to lead cross‑functional technical initiatives by coordinating with diverse stakeholder groups.Core CompetenciesDemonstrates expertise in leading high-impact machine learning solutions and managing complex AI engineering initiatives. Proven ability to drive innovation and operational efficiency while fostering cross-functional collaboration and stakeholder engagement.Highest-signal resume keywords- Machine Learning Expertise- AI Engineering Management- Cross-Functional Collaboration- End-to-End ML System Ownership- Strategic Direction and LeadershipATS Optimization KeywordsHard Skills- Machine Learning- Statistics- Data Science- Optimization- A/B Testing- Causal Inference- Model Design- Feature Engineering- Model Architecture- Drift DetectionSoft Skills- Exceptional Communication- Stakeholder EngagementIndustry Keywords- AI Roadmaps- Operational Efficiency- Resource Optimization- High-Impact Projects- Research and Development LifecycleTools & Technologies- Model Serving Platforms- Feature Stores- Data Pipelines#J-18808-Ljbffr

📌 Machine Learning Software Engineer (Toronto)
🏢 Jobtailor
📍 Toronto