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RQ11622 - Systems Testing/QA Specialist - Senior
Source Code
Toronto, ON
- $54.23 to $73.66 CAD / hour
…the various components. The tester will work with the testing lead and IT lead of each project as well as the project team members in the analysis, design, development, implementation and…
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DevOps Engineer
LYNKED Inc.
London, ON
…platform and smart metering products. Reporting to the DevOps Team Lead, you will work with a high degree of autonomy and collaborate closely with the software development and QA teams. You…
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Senior Embedded Systems Electronics engineer | Ingénieur senior en systèmes embarqués et électronique
Innovobot
Montréal, QC
- Full-time
Maîtrise des outils de conception de circuits imprimés (PCB) tels qu’Altium et Eagle, ainsi que des langages de programmation pour systèmes embarqués tels que C/C++ et Python.
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Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp
Vancouver, BC
- Full-time
Lead performance analysis, benchmarking then identify performance improvements and deliver.
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Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…deployment and model integration - building trust as the customer's lead technical…
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Staff, Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Operate as technical lead on complex and ambiguous client engagements end-to-end, from ideation and discovery through to production
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Mechanical Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
You don't need to be the loudest voice in the room - but you can run a sprint, lead a cross-functional project, and talk shop with both customer engineers and internal developers.
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Forward Deployed Engineer, Agentic Platform
Urban Ridge Supplies
Toronto, ON
- Full-time
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and…
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Senior AI Engineer (GTM)
Urban Ridge Supplies
Toronto, ON
- Full-time
Have strong software engineering experience and can independently take a problem from technical design through to production; Python and SQL experience would be particularly relevant
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AI Automation Engineer (Data Products)
Tech Talent International
Montréal, QC
- $60 to $90 CAD / hour
Our client is seeking an AI/Automation Engineer to lead the automation of data product creation. This role focuses on applying and integrating existing AI and automation frameworks (such as…
Added 1 day ago
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Oracle AI Architect
Tech Talent International
Toronto, ON
- $82 to $83 CAD / hour
Location: Hybrid, 2-3 days in office, Brampton, ON, Canada
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AI Platform Engineer
Hitachi Global
Toronto, ON
- Full-time
Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
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Lead Analytics Engineer
Sony Interactive Entertainment (SIE)
Remote, Canada
- Remote
As a Lead Analytics Developer, you’ll work in our cross-disciplinary engineering team to scale our platform, expand its reach, and help define and build the future of analytics for…
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CCR Model Validation Consultant
Procom
Toronto, ON
- $60 to $80 CAD / hour
- Contract
This is a hybrid contract role in Toronto (3 days in office per week)
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Senior Embedded Software Engineer - Automotive (C++/Linux)
Procom
Ottawa, ON
- $52 to $65 CAD / hour
- Contract
Lead development of the core daemon, focusing on high performance CAN PDU processing, signal transmission, and SOA services
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Lead software engineer
National Money Mart Company
Toronto, ON
The Job: Lead Software Engineer, Backend & Cloud Platform
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Test Development Team Lead
Procom
Calgary, AB
- Full-time
Our client is seeking a hands-on Test Development Team Lead to lead a small team of test developers validating a complex IoT collaboration platform. The platform spans embedded audio…
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Lead, AI Engineering
Hays
NS
- $150,000 to $175,000 CAD / year
- Full-time
· Lead and grow a high-performing AI Engineering team through hiring, coaching, mentoring, and capability development.
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Senior Data Scientist
EXL Talent Acquisition Team
Canada
We are seeking a senior data scientist to lead delivery of advanced analytics and machine learning solutions for a large scale transformation program within insurance practice.
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Lead software engineer (1594)
National Money Mart Company
Toronto, ON
The Job: Lead Software Engineer, Backend & Cloud Platform
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Team lead, electromagnetic design tools and infrastructure
Nord Quantique
Remote, Canada
- $167,000 to $194,000 CAD / year
- Full-time
- Remote
We are seeking a Team Lead, EM Design Tools and Infrastructure to define and drive the technical direction of internal electromagnetic simulation infrastructure. This role combines…
Added 1 day ago
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Engineering Manager - Agentic Insights
Cover Genius
Vancouver, BC
- $150,000 to $190,000 CAD / year
- Full-time
- Hybrid
As the Engineering Manager, Agentic Insights, you will lead the team that turns Cover Genius's cross-portfolio data into products our partners can act on. You will own two existing products…
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Artificial Intelligence Scientist
Precision AI
Calgary, AB
- Full-time
- Hybrid
The AI Scientist will lead the scientific direction of AI initiatives by designing and overseeing research-driven AI projects and developing and advancing state-of-the-art machine learning…
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Senior AI Engineer
Rootly
Toronto, ON
- Full-time
- Hybrid
We’re hiring a Senior AI Engineer to lead the development of a new AI-driven reliability assistant. This isn’t a traditional ML role: we’re not training custom models (yet). Instead, this…
Added 1 day ago
Actuary associate
Impact Recruitment
Edmonton, AB
Lead actuarial analyses related to pricing, reserving, forecasting, and profitability for Personal and/or Commercial Lines portfolios.

Precision AI

Artificial Intelligence Scientist

Calgary, AB, Canada

Hybrid

Full-time

Apply on jobs.gem.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Experience: 4+ years of experience in AI/ML model design, training, and deployment in production environments.
Posting language: English
Posted: Apr 17, 2026

Original job description

About Precision AI

Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.

Role Overview

The Artificial Intelligence Scientist at Precision AI will drive innovation at the intersection of advanced AI research and agricultural applications. This role is responsible for conceiving, researching, and translating novel AI approaches into practical solutions that address complex challenges in agriculture.

The AI Scientist will lead the scientific direction of AI initiatives by designing and overseeing research-driven AI projects and developing and advancing state-of-the-art machine learning models. This role emphasizes problem discovery and ideation, developing novel solutions, and driving research from concept through deployment in collaboration with internal and external partners.

Working closely with AI leadership, engineers, agronomy experts, and strategic partners, the AI Scientist will shape both the long-term technical vision and the day-to-day execution of Precision AI’s AI-powered agricultural solutions.

This hybrid role is based in Calgary and will work from Precision AI’s headquarters 3 days a week.

Key Responsibilities

Research & Innovation

Lead applied AI research to develop novel approaches for agricultural challenges such as crop monitoring, yield forecasting, and sustainability.
Explore and prototype emerging AI paradigms, including reasoning-enhanced LLMs (e.g., chain-of-thought, self-reflection, tool use), recursive or iterative modeling, reinforcement learning and RLHF-style training, and self-supervised or foundation models.
Translate research ideas into validated prototypes and production-ready methods.

Advanced Model Development

Design and evaluate state-of-the-art models across computer vision, NLP, time-series, and multimodal learning (e.g., satellite/drone imagery, sensor data, text).
Apply modern techniques such as representation learning, domain adaptation, few-shot learning, multimodal fusion, spatiotemporal modeling, and efficient fine-tuning.
Advance model robustness, generalization, and efficiency under real-world agricultural constraints.

Agricultural Intelligence Integration

Integrate domain knowledge from agronomy, climate, and geospatial data into model design and evaluation.
Develop methods that handle noisy, sparse, seasonal, and region-dependent data, common in agricultural systems.

Scientific Leadership & Mentorship

Set standards for scientific experimentation, and reproducibility across AI research efforts.
Mentor engineers and scientists on research methodology, model design, and experimental analysis.

Collaboration & Knowledge Sharing

Collaborate with cross-functional teams and external research partners to align research outcomes with real-world impact.
Communicate research findings clearly through technical reports, presentations, and internal knowledge sharing.

Relevant Experience

Required

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, computer vision, and multimodal architecture.
Experience with modern learning paradigms such as transfer learning, self-supervised learning, domain generalization, and few-shot or representation learning.
Experience with emerging and novel techniques, including retrieval-augmented generation (RAG), diffusion models, reasoning-enhanced LLMs (e.g., chain-of-thought, self-reflection), and reinforcement learning–based training or optimization.
Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
Hands-on experience with large-scale data sets, data lake architectures and distributed data processing
Fluency in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and MLOps practices (CI/CD, experiment tracking, reproducibility).
Strong technical communication skills, with the ability to document research, present results, and collaborate effectively across technical and non-technical teams.
Proven ability to stay current with AI research, critically evaluate new methods, and apply them to complex real-world problems.

Academic Requirements

PhD or master's in computer science, computer engineering, statistics, or mathematics
Strong publication record in reputable conferences or journals in AI, machine learning, computer vision, NLP, or related areas

Not Sure You Meet Every Requirement?

Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.

Apply on jobs.gem.com About employer

More about this job

Responsibilities

The AI Scientist at Precision AI will lead research into new AI methods for farming, build and evaluate advanced models on drone, satellite and sensor data, and take promising ideas from prototype to production. The role also sets research standards and mentors engineers.

Requirements

Candidates need 4+ years of AI/ML experience deploying models in production, strong Python and ML framework skills, and a master's or PhD in a quantitative field with a solid publication record. Strong written and oral communication for technical and non-technical audiences is also required.

Skills

Python
PyTorch
TensorFlow
Hugging Face
MLOps
CI/CD
experiment tracking
large language models
vision-language models
computer vision
natural language processing
multimodal learning
time-series modeling
transfer learning
self-supervised learning
domain generalization
few-shot learning
retrieval-augmented generation
diffusion models
reinforcement learning
RLHF
distributed data processing
data lake architecture
research methodology
scientific writing

Keywords

Artificial Intelligence
machine learning
AI scientist
computer vision
large language models
LLM
multimodal learning
reinforcement learning
RLHF
self-supervised learning
foundation models
PyTorch
TensorFlow
Hugging Face
Python
MLOps
precision agriculture
agtech
drone
time-series

Seniority

Senior

Tools

PyTorch
TensorFlow
Hugging Face
Python

Languages

English

Fields of study

computer science
computer engineering
statistics
mathematics

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Work requirements

Jobs in Canada