Machine Learning Engineer I

Machine Learning Engineer I (B3617) Join to apply for the Machine Learning Engineer I (B3617) role at TD. Pay Details $120,000 - $153,500 CAD Work Location Toronto, Ontario, Canada Hours 37.5 h/week Line Of Business Analytics, Insights, & Artificial Intelligence Job Description We are looking for experienced AI and ML Engineers who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid AI and ML engineering experience, and 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. Model 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 large datasets for machine learning models and AI applications. Model Deployment & Monitoring: Build and deploy model inference pipeline, ground‑truth pipeline, and 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; including 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 Technical Qualifications Undergraduate degree required. Advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science). Graduate’s degree preferred with progressive project work experience. 2+ years of extensive programming experience; 1+ year experience building machine learning production systems. Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models. Solid experience 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 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 the fifth largest bank in North America by branches and stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. ... Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve financial, physical, and mental well‑being goals. It includes a base salary, variable compensation, and several key plans such as health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Additional Information This job opportunity is subject to provincial regulation for employment purposes. Please acknowledge that each province or territory within Canada may have its own regulations and requirements. Colleague Development Career, development, and performance conversations with your manager; access to an online learning platform and mentoring programs. We support you in identifying opportunities aligned with your goals. Training & Onboarding We will provide training and onboarding sessions to ensure you have everything you need to succeed. Interview Process We’ll reach out to candidates of interest to schedule interviews and communicate outcomes by email or phone call. Accommodation Your accessibility is important to us. Let us know if you’d like accommodations (e.g., accessible meeting rooms, captioning for virtual interviews) to help remove barriers throughout the interview process. Language Requirement (Quebec Only) SANS OBJECT Seniority Level Entry level Employment Type Full‑time Job Function Engineering and Information Technology Industries Banking #J-18808-Ljbffr