Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$114000 - $190000 CADThe 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:

We are looking for experienced Machine Learning Engineers who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid machine learning engineering experience. They should also have expertise in data engineering, machine learning system design and MLOps.

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.

CUSTOMER

• Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
• Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.
• Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.
• Act as the expert or lead innovator and agent of change for the programs and services under management.
• Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.
• Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
• Identify and effectively manage stakeholder engagement and impacts across the enterprise.
• Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.

SHAREHOLDER

• Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
• Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
• Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts. area of expertise in own area and participate in knowledge transfer within the
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite

• EMPLOYEE / TEAM

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• Provide thought leadership and/ or industry knowledge for own
• team and business unit.
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH:

• Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.
• Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
• Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.
• Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.
• Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
• Generally, reports to a Senior Manager or above role

EXPERIENCE AND / OR EDUCATION

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