Job Specifications
Work Location:
Toronto, Ontario, Canada
Hours
37.5
Line Of Business
Technology Solutions
Pay Details
$59500 - $84,000 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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
The Associate AI Engineer I is responsible for supporting feature engineering and data preprocessing activities, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.
Key Responsibilities
Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.
Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
Deploy models into production using CI/CD pipline.
Build scalable microservices or APIs to serve ML models in real time.
Implement monitoring for model drift, performance, and reliability.
Collaborate with data engineering teams to define data requirements.
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Ensure data quality, governance, and security
Evaluate new AI frameworks, tools, and techniques.
Prototype solutions and run experiments to explore feasibility.
Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
Work with product managers and business teams to translate business problems into AI solutions.
Partner with cloud engineers and DevOps teams for scalable deployment.
Communicate complex technical concepts to non-technical stakeholders.
Required Skills & Qualifications
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).
Experience with LLMs, NLP, or deep learning.
Knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
Experience with cloud platforms Azure and model deployment.
Understanding of data structures, algorithms, and software engineering best practices.
Problem-solving and analytical thinking.
Ability to design scalable, maintainable systems.
Strong communication and documentation skills.
Collaboration in agile or cross-functional team environments.
Preferred Qualifications (Nice To Have)
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Experience building large-scale AI systems or enterprise-grade ML applications.
Experience working in regulated industries.
Knowledge of vector databases , RAG systems, or generative AI applications.
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 deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
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