Artificial Intelligence & Machine Learning Engineer (Python)

About

The role involves developing and deploying enterprise AI agentic solutions to automate risk, audit, and cybersecurity processes at scale. The successful candidate will work within the Security Insights and AI department to create AI solutions for Risk, Controls, and Regulatory Compliance.

Responsibilities

• Develop and deploy LLMs and RAG systems, ensuring context-aware, secure AI actions
• Support multi-agent systems development for complex business processes
• Build and maintain data pipelines and context layers for AI-driven decisions
• Contribute to SDKs, APIs, and reusable components for AI automation
• Integrate AI solutions with enterprise systems and platforms

Mandatory Skills

• Bachelor’s degree in Computer Science, Software Engineering, or related field
• 2-5 years of experience with Python
• 2-5 years of experience with Java, TypeScript, or Go
• Experience deploying LLMs, RAG systems, and agent orchestration frameworks
• Experience with vector database configuration and context engineering
• Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD, and cloud development
• Foundational data engineering skills with Spark, Databricks, Airflow, SQL/NoSQL, and API design

Nice-to-Have Skills

• Experience with fine-tuning LLMs and model deployment using HuggingFace
• Strong mathematical foundations in probability, statistics, and optimization
• Familiarity with distributed ML frameworks and real-time pipelines
• Experience with cloud environments and security tooling fundamentals
• Experience with observability stacks like Grafana, Prometheus, OpenTelemetry

Assignment Length

This is a 12-month contract position.

Start Date

ASAP.

Assignment Location

Toronto, Ontario, Canada. This is a hybrid position requiring 3 days in the office per week.