RCI-GT-34092 Senior AI Engineer

Rangam; Mississauga; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading company in the Computational Sciences organization is seeking a Senior AI Engineer to design and optimize cutting-edge deep learning models. This hybrid role, based in Mississauga, involves collaboration with cross-functional teams and requires a master's degree in a relevant field. The ideal candidate will have strong Python and PyTorch skills, along with experience in MLOps and large-scale distributed training.

Qualifications

• Master's degree in a relevant field required.
• Strong foundations in data structures and algorithms.
• Experience in deep learning with relevant projects.

Responsibilities

• Design and deploy deep learning models and data pipelines.
• Monitor and maintain deployed models for optimal performance.
• Collaborate with teams to apply ML methods in drug discovery.

Skills

Python

PyTorch

Deep Learning

MLOps

Data Structures

Algorithms

Software Engineering

Communication

Education

Master's degree in Computer Science

Master's degree in Machine Learning

Master's degree in Data Science

Tools

Triton

ONNX

Ray

DeepSpeed

TPU

Job description

We seek a highly motivated Senior AI Engineer to join the Computational Sciences organization.

Role Overview:

• Design, optimize, evaluate, and deploy cutting-edge deep learning models (e.g., large language models, multi-modal transformers) and data pipelines.
• Optimize and scale model and data pipelines for performance and accuracy.
• Monitor and maintain deployed models, ensuring optimal performance.
• Collaborate with cross-functional teams to translate novel ML methods into impactful applications for drug and target discovery.

Qualifications:

• Master's degree in Computer Science, Machine Learning, Data Science, or related field.
• Strong foundations in data structures, algorithms, and software engineering principles.
• Experience in deep learning, with projects or publications demonstrating expertise.
• Excellent Python and PyTorch skills.
• Experience with MLOps, model deployment (e.g., Triton, ONNX), and API-based AI systems.
• Experience with large-scale distributed training or multi-GPU/cloud infrastructure (e.g., Ray, DeepSpeed, TPU).
• Hands-on experience with LLMs and agent-based systems is a plus.
• Strong communication skills and ability to work proactively from start to finish.

Additional Details:

• This is a hybrid role based in Mississauga, requiring onsite work twice a week.
• Duration: 12 months with possible extension.
• Salary: $65-$70/hourly.
• Preferred candidates have a solid background in AI/ML, with a master's degree from a reputable university.