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Added 2 months ago
NF
Data Scientist 2
Northbridge Financial Corporation
Toronto, ON
- Full-time
Experience in scalable data engineering, software engineering and/or MLOps practices is an asset
Added 4 months ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Montreal, Quebec
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Experience with AI model deployment and MLOps practices.
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and MLOps practices (CI/CD, experiment tracking, reproducibility).
Added 2 months ago
B
AI Engineer - Generative & Agentic AI
BDO
Toronto, ON · Oakville, ON · Halifax, NS · Calgary, AB
- Full-time
Experience in MLOps, monitoring, and model deployment pipelines.
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
Broad AI Skill: Experience with MLOps practices and tools, including containerization with Docker and Kubernetes. Experience with AI-Observability metrics, and Agentic Red-Teaming practices.
Added 2 months ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale
Added 4 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
Added 2 months ago
B
Databricks Solution Architect
BDO
Toronto, ON
- Full-time
Stay ahead of emerging trends across AI, MLOps, LLMs, and data governance to inform solution strategy.
Added 2 months ago
S
Associate Director, Data Sciences
SOTI
Mississauga, ON
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 3 months ago
S
Senior Manager, Data Science
SOTI
Mississauga, Ontario
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
DevOps / MLOps: Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases)
Added 3 months ago
A
Sales Executive, Data & AI Managed Services
Accenture
Toronto, Ontario · Montreal, Quebec
- Full-time
…modern data operations and governance to model operations (MLOps) and always-on insights. Our teams help clients shift from project-based delivery to repeatable, outcome-driven services…
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining
Added 4 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Familiarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML).

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Precision AI

Artificial Intelligence Engineer

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Experience: 4+ years of experience in AI/ML model design, training, and deployment in production environments.
Posting language: English
Posted: Apr 13, 2026

Original job description

Role Overview

The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and optimizing machine learning models, supporting AI projects from experimentation through production, and maintaining high standards of technical quality.

Working closely with Senior AI Engineers and cross-functional partners, the AI Engineer will help implement AI solutions that address real-world problems. This role offers the opportunity to grow technical expertise while collaborating within a fast-paced, research-driven environment.

This role will work onsite out of our Calgary office (near Glenmore Trail).

Key Responsibilities

AI Project Leadership

Plan, design, and oversee AI/ML projects from concept to deployment.
Define milestones, monitor progress, and ensure timely delivery.

Model Development & Innovation

Build, train, evaluate, and optimize machine learning models across natural language processing, computer vision, and multimodal domains, including LLMs, VLMs, and vision-specific models (e.g., CNNs, ViTs, diffusion-based models).
Apply a range of techniques such as transfer learning, parameter-efficient fine-tuning, prompt engineering, knowledge distillation, multimodal fusion, and efficient inference methods (quantization, pruning, model compression).
Work with recent large language models and reasoning-oriented models, applying techniques such as supervised fine-tuning, structured prompting, retrieval-augmented generation (RAG).
Read and experiment with recent technologies and research papers; evaluate applicability to projects.

Programming Excellence

Apply strong foundations in data structures, algorithms, object-oriented programming, and software design patterns to build reliable AI systems.
Write clean, maintainable, and well-documented code following established team standards. Practice unit/integration testing, CI/CD pipelines, and version control (Git/GitHub).
Leverage containerization and orchestration tools such as Docker and Kubernetes for reproducible development and deployment.
Design and consume APIs (REST/GraphQL) for integrating AI models into larger systems.

Mentorship & Team Development

Guide junior engineers through technical challenges and project progress.
Promote knowledge sharing through code reviews, workshops, and documentation.

Cloud Infrastructure & Data Systems

Design and manage scalable solutions on AWS, leveraging cloud-native tools and best practices.
Work with large-scale datalake architectures to support data-driven applications.
Assist in monitoring and maintaining deployed models and services.

Technical Communication and Partner Management

Communicate technical progress, challenges, and results clearly within the team.
Contribute to internal documentation and project updates

Relevant Experience

4+ years of experience in AI/ML model design, training, and deployment in production environments.
Proven expertise in building and optimizing models, including LLMs, VLMs, and other deep learning architectures.
Exposure to transfer learning, self-supervised learning, multimodal AI systems and domain generalization.
Knowledge of retrieval-augmented generation (RAG), diffusion models, or other cutting-edge ML techniques.
Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
Hands-on experience with large-scale datalake architectures and distributed data processing
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and MLOps practices (CI/CD, experiment tracking, reproducibility).
Strong communication, documentation, and presentation skills, with the ability to work across teams and with external partners.
Ability to stay current with emerging AI research and assess applicability of new methods to real-world problems.

Education Requirements

Bachelor's or master's degree in computer science, computer engineering, statistics, or mathematics

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More about this job

Responsibilities

The AI Engineer will design, develop, and deploy machine learning models while overseeing AI projects from concept to production. They will also collaborate with cross-functional teams to implement scalable AI solutions and provide technical mentorship to junior staff.

Requirements

Candidates must have at least 4 years of experience in AI/ML model design and deployment, with strong proficiency in Python and modern ML frameworks. A bachelor's or master's degree in a relevant technical field such as computer science, statistics, or mathematics is required.

Skills

Python
Machine Learning
Deep Learning
LLMs
Computer Vision
PyTorch
TensorFlow
Hugging Face
AWS
Docker
Kubernetes
CI/CD
RAG
Data Structures
Algorithms
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
LLMs
VLMs
Computer Vision
CNNs
ViTs
Diffusion Models
Transfer Learning
Prompt Engineering
RAG
Docker
Kubernetes
AWS
PyTorch
TensorFlow
Hugging Face
MLOps
CI/CD
Data Structures
Algorithms
REST
GraphQL
Datalake
Software Engineering
Git
GitHub
Model Compression
Quantization

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