Artificial Intelligence Developer

StreetScan; Montreal; On-site; CAD 80,000 - 160,000; Full time

Job summary

An innovative data and analytics company is on the lookout for a skilled AI Developer to enhance their geospatial applications. This role involves designing and deploying advanced AI models, working with vast geospatial datasets, and collaborating with a talented team to drive sustainable decision-making in urban infrastructure. The ideal candidate will leverage their expertise in machine learning and deep learning to create impactful solutions. Join a forward-thinking organization that values innovation and offers opportunities for professional growth in the field of AI and geospatial technologies.

Benefits

Competitive salary

Performance-based incentives

Access to cutting-edge technologies

Career growth opportunities

Professional development

Qualifications

• 4-7 years of AI/ML development experience, focusing on geospatial applications.
• Proficiency in Python and machine learning frameworks like TensorFlow and PyTorch.

Responsibilities

• Design and deploy AI/ML models for geospatial data analysis.
• Collaborate with data engineers and GIS specialists to integrate AI solutions.

Skills

Machine Learning

Deep Learning

Geospatial Data Analysis

Python

Problem Solving

Education

Bachelor's or Master's in Computer Science

Degree in Data Science or AI

Tools

TensorFlow

PyTorch

GDAL

GeoPandas

OpenCV

QGIS

Job description

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About Us

Citylogix Inc. (previously named StreetScan) is a premier data and analytics company serving smart cities in enhancing their transportation infrastructure. Utilizing advanced LiDAR, 360° imaging, and AI analytics, we create detailed digital maps and conduct infrastructure assessments with our GIS-based software, Streetlogix. Our mission is to empower municipalities with sustainable, data-driven decision-making tools for better infrastructure management.

Job Description:

We are seeking a skilled and experienced AI Developer with expertise in geospatial data to join our dynamic team. We are constantly working on improving our product and we need the right person to progress us in the right direction. The ideal candidate will have a strong background in machine learning, deep learning, and data processing, with a focus on leveraging AI to analyze and interpret geospatial datasets. This role requires a combination of technical proficiency, problem-solving ability, and innovation to develop AI-driven solutions for geospatial applications.

Key Responsibilities:

• Design, develop, and deploy AI/ML models for geospatial data analysis and interpretation.
• Work with large-scale geospatial datasets, including satellite imagery, LiDAR, and GIS data.
• Develop and implement algorithms for image recognition, object detection, and predictive modeling using geospatial data.
• Optimize AI models for accuracy, efficiency, and scalability.
• Collaborate with data engineers, GIS specialists, and software developers to integrate AI solutions into production systems.
• Conduct data preprocessing, feature engineering, and model evaluation to improve AI-based insights.
• Stay up to date with advancements in AI, ML, and geospatial technologies and incorporate best practices into development processes.
• Document methodologies, workflows, and model performance for future reference.

Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, GIS, Remote Sensing, or a related field.
• 4-7 years of experience in AI/ML development, with a focus on geospatial applications.
• Proficiency in Python, TensorFlow, PyTorch, or other machine learning frameworks.
• Experience with geospatial libraries and tools such as GDAL, GeoPandas, Rasterio, OpenCV, and QGIS.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and their AI/ML services.
• Strong knowledge of GIS concepts, remote sensing techniques, and spatial analysis.
• Hands-on experience with computer vision techniques, including segmentation, classification, and object detection.
• Proficiency in working with geospatial data formats such as GeoTIFF, shapefiles, and NetCDF.
• Experience in database management and querying using SQL and NoSQL databases.
• Excellent problem-solving skills and ability to work in a collaborative team environment.

Preferred Qualifications:

• Experience with deep learning for geospatial applications (e.g., CNNs for satellite imagery analysis).
• Knowledge of reinforcement learning and generative AI for geospatial data.
• Exposure to edge computing and AI deployment on mobile or embedded systems.
• Understanding of geospatial APIs and web-based GIS platforms.
• Competitive salary and performance-based incentives.
• Access to cutting-edge AI and geospatial technologies.
• Career growth opportunities and professional development.

How to Apply: Interested candidates should send their resume and cover letter to [e-mail] with the subject line " AI Developer Application - [Your Name]".

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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