AI Engineer Location: Toronto, ON

Onsite Flexibility: Hybrid — 4 days in office, 1 day work from home (anchor days flexible)

Contract Details Position Type: Contract Contract Duration: 1 year (with potential for extension and conversion based on business needs and performance) Pay Rate: C$100.00–C$120.00 / Hour (CAD) Shift / Schedule: Monday–Friday, core business hours — 37.5 hours per week, 7.5 hours per day Travel Requirements: Not required

Job Summary The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, 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 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, 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 Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow). Experience with LLMs, NLP, or deep learning. Strong knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes. Experience with cloud platforms (AWS/GCP/Azure) and model deployment. Strong understanding of data structures, algorithms, and software engineering best practices. Strong communication skills (written and verbal). Strong time management. Attention to detail; self-starter and adaptable. Strong documentation skills. Strong problem-solving and analytical thinking skills.

Preferred Skills Banking or financial institution experience. Prior TD experience. Agile experience.

Education Requirements Bachelor's degree required — Engineering, Computer Science, Math, Accounting, or Business.

Required Experience 10 years of overall experience (flexible).

Work Environment / Physical Requirements Approximately 3 hours per day spent in meetings on average. Contractor will have access to customer data.

Medical, Vision, and Dental Insurance Plans 401k Retirement Fund

Important Notes Interview process: 2 steps — virtual and in-person, 1 hour, panel format; includes a technical assessment and/or coding assignment.

About the Client This client is a leading financial services and banking institution operating across Canada and internationally, with a large-scale technology organization supporting digital, mobile, and online platforms. The organization employs thousands of technology professionals — including solutions developers, AI/ML engineers, data scientists, and IT specialists — who collaborate on internal initiatives spanning automation, AI, and cloud-based systems.

About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-10866 Industry: Engineering

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