Senior AI Engineer

BANKING LABS INC; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a Senior AI Engineer to drive the development of next-generation AI applications. In this role, you will lead innovative projects utilizing cutting-edge machine learning and NLP techniques, collaborating with cross-functional teams to solve real-world challenges. Join a dynamic organization and work with an exceptional team of professionals in a fast-paced environment.

Qualifications

• Experience in developing AI models and systems.
• Strong skills in machine learning techniques.
• Proficient in Python and PyTorch.

Responsibilities

• Design and deploy innovative AI models using machine learning and NLP.
• Lead large-scale AI projects across the company.
• Mentor junior AI engineers.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

PyTorch

Docker

Kubernetes

Collaboration

Job description

We are looking for a Senior AI Engineer to help build out our next generation APIs and development platform for AI. You will have the opportunity to work at the forefront of LLM technologies to push the boundaries of platform performance and scalability.

We are on the hunt for a talented and seasoned Senior AI Engineer to join our innovative technology team. As a Senior AI Engineer, you will be at the forefront of cutting-edge artificial intelligence solutions, developing, implementing, and maintaining AI models and systems. You will be working on real-world problems, driving forward our technology and business. This is an excellent opportunity to work with a team of outstanding professionals and be part of a dynamic, fast-paced organization.

Responsibilities :

• Design, develop, and deploy innovative AI models and systems using advanced techniques in machine learning and Natural Language Processing (NLP).
• Use Python and PyTorch to develop and implement machine learning algorithms.
• Collaborate with cross-functional teams to understand their needs and develop AI-driven solutions.
• Lead and manage large scale, company-wide, AI projects.
• Oversee the entire AI application lifecycle, from concept to deployment.
• Troubleshoot and resolve system-related issues and optimize performance.
• Implement robust software solutions for model deployment using Docker and Kubernetes.
• Keep abreast of the latest AI trends and technologies and implement them as required.
• Document AI processes, systems, and algorithms for future reference and for the benefit of other team members.
• Mentor junior AI engineers and oversee their work to ensure quality and consistency.