Machine Learning Engineer I (B3617)

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Hours:

Line of Business:

Pay Details:

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 candidates 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 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. 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) Graduates 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 worlds 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 95000 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 youve 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 were 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 were committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well 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 youd 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):