Machine Learning Engineer II

TD; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

A leading financial institution is seeking a Machine Learning Engineer II to develop and deploy industry-leading machine learning systems. The ideal candidate will have deep knowledge of applied ML, experience with cloud services, and a strong programming background. This role offers an opportunity to significantly impact the lives of over 27 million customers while working on cutting-edge AI technologies.

Benefits

Health benefits

Career development programs

Competitive salary

Flexible work environment

Qualifications

• 2+ years programming experience in a relevant field.
• Solid knowledge of machine learning and deep learning applications.
• Strong experience with cloud-based AI/ML services.

Responsibilities

• Develop and deploy machine learning models in production.
• Architect scalable ML systems to improve operational efficiency.
• Perform data analysis and feature engineering for ML models.

Skills

Machine Learning

Deep Learning

Data Analysis

Python

Cloud Services

PySpark

CICD

MLOps

Education

BSc+ in Computer Science, Math, Physics, or similar

Tools

Azure

AWS

Databricks

Kubernetes

Docker

Azure Machine Learning

Job description

Join to apply for the Machine Learning Engineer II role at TD

Join to apply for the Machine Learning Engineer II role at TD

Pay Details

$150,000 - $190,000 CAD

Work Location:

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Analytics, Insights, & Artificial Intelligence

Pay Details

$150,000 - $190,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

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

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.

Key Responsibilities

• Traditional ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.
• Gen AI: Develop and deploy scalable production Gen AI systems for Gen AI models.
• Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise data platform.
• ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.
• Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex and large datasets for machine learning models.
• 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, model 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 machine learning scientists, product owners, data platform team and business partners to gather use case requirements and implement technical solutions for production AI/ML models.
  
  

Job Requirements

Required Technical Qualifications:

• BSc+ in Computer Science, Math, Physics, or similar
• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system
• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models
• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models
• 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
• Experience with RAG, LLM fine tuning, LLM serving
• 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 delivery 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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other 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. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only)

Sans Objet

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking

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