Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Technology Solutions
Pay Details:
$81,600 - $115,200 CAD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job Description:
Job Description
We are looking for experienced Software Engineer in AI/ML who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid AI and ML engineering experience. They should also have expertise in data engineering, machine learning system design and AI/MLOps.
Key Responsibilities
- Gen AI: Develop and deploy scalable production Gen AI systems and applications.
- Predictive ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.
- Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise AI and data platform.
- ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing AI and data platforms and infrastructure, focusing on automation, operation efficiency, and reliability.
- Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex structured and unstructured and large datasets for machine learning models and AI applications.
- Model Deployment & Monitoring: Build and deploy model inference pipeline, ground truth pipeline, model monitoring pipeline to production environment. Continuously monitor production model performance and system performance
- Automation: Build CI/CD pipelines to automate model deployment, deployment validation, model performance monitoring, and model retraining.
- Research: Stay up to date with the latest advancements in AI/ML technologies and apply them to improve existing ML systems or develop new systems and solutions.
- Technical Leadership: Provide technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
- Collaboration: Work with AI/ML platform team, machine learning scientists, product owners and business partners to gather use case requirements and implement technical solutions for production AI/ML models and applications.
Job Requirements
Required TechnicalQualifications
- Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience
- 2+ years of extensive programming experience, 1+ year experience of building machine learning production systems
- Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models
- Solid experience with developing MLOps/AIOps CI/CD pipelines for deploying AI/ML models
- Solid experience with RAG, Agentic AI, LLM fine tuning, LLM serving, end-to-end GenAI application development, deployment, and production.
- Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory
- Strong experience with PySpark for big data processing and PyTorch for deep learning model serving
- Expert coder with Python, Java, or Scala
- Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
Preferred Qualifications
- Knowledge of cloud engineering
- Self-motivated and demonstrated ability to take independent action to deliver results.
- Highly developed critical thinking, analytical and problem-solving skills
- Strong verbal and written communication skills, with the ability to work effectively across teams
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is de