Machine Learning Engineer II

TD•Toronto, ON

6d•Onsite

About The Position

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs. Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Our team is building standardized frameworks to launch AI models that have real-world impact. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections. Day-to-day as a Machine Learning Engineer: Join a world-class team of AI developers with an extensive track record. Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability. Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application. Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections.

Requirements

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
Minimum three years of experience delivering major data science projects in large, complex organizations
Strong communication, business acumen and stakeholder management competencies
Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
A track record of driving product adoption and growth

Nice To Haves

Familiarity with cloud solution architecture, Azure a plus
Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
Master's degree data science, artificial intelligence, computer science or equivalent experience

Responsibilities

Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.
Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application.
Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections.