Position: Senior Applied Machine Learning Scientist, Conversational AI (B3617)
Location: Montreal
Description
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Department Overview:
What does TD Analytics, Insights and Artificial Intelligence stand for? For starters, we believe in visionary leadership and insights.
We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data, with a strong focus on AI.
Job Requirements:
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible for:
• Managing, mentoring, and developing a team of applied machine learning scientists, fostering a collaborative and innovative work environment.
• Leading the conceptualization, design, and delivery of AI/ML systems to solve complex business and enterprise-wide problems.
• Providing thought leadership and developing innovative methodologies and techniques in AI/ML.
• Collaborating with cross-functional teams including Machine Learning Engineers and research scientists, data scientists, and business stakeholders to build and implement cutting-edge analytic solutions.
• Translating business objectives into scalable technical solutions and delivering enterprise-level insights.
• Acting as a business partner to guide and prioritize strategic initiatives and analytical needs.
• Driving continuous improvement through monitoring systems, feedback loops, and trend analysis.
• Ensuring compliance with internal and external governance, risk, and regulatory requirements.
• Championing a culture of excellence, inclusion, and continuous learning within the team.
As the Senior AMLS, Conversational AI, CPB AI2, you will specifically manage a team developing and evolving Conversational AI systems, including RAGs like the TD Virtual Assistant deployed in branches. You and your team will also collaborate with Layer 6 to develop and evolve the suite of AI RAG systems.
Qualification:
• Undergraduate degree required; advanced technical degree preferred (e.g., Mathematics, Physics, Engineering, Finance, Computer Science).
• Minimum 5+ years of relevant experience, including post-graduate work in AI/ML or related fields.
• Proven experience in leading and managing technical teams, with a focus on mentorship and performance development.
• Deep expertise in AI/ML frameworks, tools, and methodologies.
• Strong strategic planning, communication, and stakeholder engagement skills.
• Extensive understanding of business operations and enterprise-level analytics.
• Experience working with large-scale data systems and advanced machine learning techniques.
Demonstrated ability to provide specialized knowledge and guidance across multiple domains of AI.
Aperçu du département :
Que signifient TD Analytics, Insights et Intelligence Artificielle ? Pour commencer, nous croyons en un leadership visionnaire et en des perspicaces.
Nous croyons en les talents que nous développons pour mieux servir nos clients, et nous savons que de nombreuses découvertes et produits révolutionnaires qui représentent l'avenir chez TD peuvent tous être portés par des données, avec un fort accent sur l'IA.
Exigences du poste :
En tant que scientifique principal appliqué en apprentissage automatique, vous dirigerez une équipe performante de professionnels de l'IA/ML et assurerez un leadership technique dans toute la fonction IA. Vous serez responsable de :
• Gérer, encadrer et développer une équipe de scientifiques en apprentissage automatique appliqué, favorisant un environnement de travail collaboratif et innovant.
• Direction de la conceptualisation, de la conception et de la mise en œuvre de systèmes d'IA/ML pour résoudre des problèmes complexes à l'échelle des entreprises et de l'entreprise.
• Fournir un leadership d'opinion et développer des méthodologies et techniques innovantes en IA/ML.
• Collaboration avec des équipes interfonctionnelles incluant des ingénieurs en apprentissage automatique et des chercheurs scientifiques, des data scientists et des parties prenantes de l'entreprise pour construire et mettre en œuvre des solutions analytiques de pointe.
• Traduire les objectifs métier en solutions techniques évolutives et fournir…
