Td is looking for an Associate AI Engineer I to support the development of scalable AI systems in production. In this role, you’ll combine software engineering, data science, and machine learning expertise to improve decision-making, enable automation, and deliver remarkably human client experiences.

What You'll Do

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 a CI/CD pipeline.
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, and Pandas.
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 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.

What We're Looking For

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, specifically 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.

Nice to Have

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a 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.

Technical Stack

Languages & Core: Python, SQL, Spark
Data Science: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow
AI Tools: LangChain, LangSmith, OpenAI APIs
MLOps & Infrastructure: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure

Team & Environment

You will collaborate with data engineering teams, product managers, business teams, cloud engineers, and DevOps teams in a respectful workplace where diverse perspectives are valued.

Benefits & Compensation

Base salary with variable compensation
Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development and reward programs
Training and onboarding
Compensation range: $59,500 - $84,000 CAD

Work Mode

This is a local-city role based in Toronto, Ontario, Canada.

Td is deeply committed to fostering a respectful workplace, providing fair and equitable compensation, and supporting colleague growth and skill development.