oakville, on applied scientist Jobs – 2 Openings This Week

Principal Data Scientist, Applied AI
Mapsted Corp. —Oakville, ON
- From $1 a year
- Full-time
- Doctoral degree
- Databases
- SQL
- Dental care
- Paid time off
Quick apply
10d
Archaeology Field Supervisors I to IV
AECOM —Mississauga, ON
- $31.72–$35.56 an hour
- Contract
- First Aid Certification
- Leadership
- Employee stock purchase plan
- Dental care

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Principal Data Scientist, Applied AI

Mapsted Corp. -
Oakville, ON

Quick apply

Job details

Permanent | Full-time
From $1 a year
10 days ago

Qualifications

Performance tuning
Law
Doctoral degree
Applied Mathematics
PyTorch
Data structures
NoSQL
Mathematics
Databases
SQL
Machine learning
Linux
AI
Python

Full job description

Company Overview

Mapsted is building next-generation indoor navigation and spatial intelligence technologies powered by advanced artificial intelligence and machine learning systems. Our platform combines AI, computer vision, geospatial intelligence, and scalable production infrastructure to solve complex real-world spatial and mapping challenges.

We are seeking a highly experienced Principal Data Scientist, Applied AI to help lead the design, development, and deployment of advanced AI systems powering intelligent spatial technologies and production-scale AI applications.

This is a senior applied AI and data science role focused on research, development, and deployment of production machine learning systems across deep learning, computer vision, spatial data processing, and scalable AI infrastructure.

Summary

'Why Join Mapsted

Work on cutting-edge AI and spatial intelligence technologies
Solve large-scale real-world computer vision and mapping challenges
Build and deploy production AI systems used in real-world environments
Collaborate with experienced engineering, product, and technical leadership teams
Contribute to the future of intelligent indoor navigation and spatial computing

Key Responsibilities

Lead the research, design, development, and evaluation of advanced AI and deep learning models for map recognition, spatial image processing, and image vectorization
Build, train, optimize, and deploy machine learning and deep learning models using frameworks such as PyTorch
Design and maintain scalable production AI systems, pipelines, and model-serving infrastructure
Develop AI-based and LLM-based components that support spatial intelligence, indoor navigation, and map understanding applications
Develop and maintain Python-based backend services supporting AI deployment, inference, monitoring, and performance optimization
Design and optimize data storage structures, indexing strategies, and large-scale data workflows required for AI systems
Support the scalability, reliability, and performance of production AI systems and infrastructure
Develop geospatial data processing pipelines, spatial indexing methods, and spatial AI workflows
Maintain and optimize Linux-based production environments, SQL-backed systems, and backend services supporting AI applications
Collaborate across engineering and product teams to build scalable AI-driven solutions
Prepare and maintain technical documentation related to AI systems, workflows, experiments, and deployment processes

Required Qualifications

PhD in Applied Mathematics, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
8+ years of experience developing Python-based machine learning, data science, or production AI systems
Extensive hands-on experience with deep learning frameworks such as PyTorch
Proven experience designing, training, evaluating, and deploying production AI or machine learning systems
Strong expertise in computer vision, image recognition, image analysis, and structured data extraction from visual inputs
Strong understanding of algorithms, data structures, scalability, and performance optimization
Experience working with relational and NoSQL databases in large-scale AI or data-intensive environments
Experience with Linux-based production environments and performance tuning
Strong understanding of geospatial data, spatial indexing, map-related data systems, or spatial intelligence applications
Strong foundation in linear algebra, calculus, statistics, and core machine learning principles
Ability to lead complex applied AI initiatives from research and prototyping through production deployment

Preferred Qualifications

Experience with LLM-based systems and applied AI products
Experience with MLOps, AI infrastructure, and model deployment at scale
Experience integrating AI systems into end-to-end production environments
Experience with image vectorization, map recognition, spatial image processing, or geospatial data pipelines
Experience modernizing legacy systems supporting AI, data processing, or production workflows

Compensation & Benefits

Competitive compensation package based on experience and qualifications
Health and dental benefits
Group Life insurance benefit
Team-oriented and collaborative environment
Opportunities to work on cutting-edge AI technologies

Application Instructions

Please submit:

Resume/CV
Short cover letter outlining relevant AI and machine learning experience
Optional examples of relevant projects, publications, or technical work

Mapsted is an equal opportunity employer and welcomes applications from all qualified candidates.

Pay: From $1.00 per year

Benefits:

Casual dress
Dental care
On-site parking
Paid time off
Vision care

Work Location: In person

Quick apply

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