Description

Lead AI Engineer

Toronto, ON – 3 days onsite/week

200,000 – 225,000 CAD + bonus + LTI; 300,000 – 400,000 CAD total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

  • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
  • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
  • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
  • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
  • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

  • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
  • Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring.
  • Enterprise-level application experience, ideally in real-time preferred.
  • Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
  • Experience as a tech-lead for scaling MLE teams preferred.
  • Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Recommendation Engine | Recommender System | Personalization | Agentic AI | AI Agents