30 Jan 2026

Computer Vision (AI) Engineer at Proforce Galaxies Limited

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Proforce Galaxies Limited – At the forefront of innovation and global connectivity, Proforce Galaxies Limited is driven by a bold vision: To become the leading space and satellite technology solutions provider globally. We believe satellites do more than orbit the Earth — they connect its people, empower industries, and unlock new frontiers of opportunity.

We are a comprehensive space technology company committed to advancing capabilities across the entire value chain of space operations — upstream, midstream, and downstream. Our solutions span from cutting-edge spacecraft manufacturing to real-time data delivery and integrated surveillance systems on Earth, in the air, and beyond.

We are recruiting to fill the position below:

Job Title: Computer Vision (AI) Engineer

Location: Ode-Remo, Ogun
Employment Type: Full-Time | On-site
Industry: Space & Satellite Technology

Position Overview

  • As a Computer Vision (AI) Engineer, you will be responsible for designing and implementing state-of-the-art computer vision algorithms tailored for satellite imagery analysis.
  • Your work will directly impact applications such as object detection, environmental monitoring, change detection, and geospatial intelligence.
  • You will work collaboratively with GIS Analysts, Fullstack Developers, and other team members to deploy scalable AI solutions within real-world platforms. This is a high-impact role for someone who thrives on innovation, research, and hands-on development.

Key Responsibilities

  • Develop advanced computer vision models for analyzing satellite imagery (e.g., segmentation, object detection, pattern recognition, change detection).
  • Train, fine-tune, and optimize deep learning models (CNNs, Transformers, etc.) using frameworks such as TensorFlow and PyTorch.
  • Process multispectral, SAR, and optical satellite imagery to extract relevant features for downstream applications.
  • Collaborate with Back-End Developers to deploy models to production environments (cloud-based or edge devices).
  • Integrate AI-generated insights into geospatial workflows in partnership with GIS Analysts.
  • Optimize computer vision algorithms for performance, scalability, and low-latency edge processing.
  • Validate model accuracy, robustness, and reliability using real-world satellite datasets.
  • Support web and mobile applications by developing AI-driven features and capabilities.
  • Maintain comprehensive documentation of models, data pipelines, training experiments, and deployment processes.
  • Stay informed of the latest research, tools, and technologies in computer vision and satellite data analytics.

Qualifications & Skills

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Remote Sensing, or related fields.
  • Proven experience in computer vision and deep learning applied to imagery data.
  • Strong programming skills in Python; proficiency in deep learning libraries like TensorFlow, Keras, or PyTorch.
  • Experience working with satellite data (e.g., multispectral, SAR, hyperspectral) is highly desirable.
  • Familiarity with geospatial data formats and tools (e.g., GDAL, QGIS, GeoTIFF).
  • Knowledge of cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
  • Ability to work independently and collaboratively in cross-functional teams.
  • Strong analytical, problem-solving, and communication skills.

What We Offer

  • A chance to be part of a groundbreaking journey in African space technology.
  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and skill development.
  • Access to innovative projects with real-world impact.
  • Competitive salary and benefits package.

Application Closing Date
31st January, 2026.




Method of Application

Interested and qualified candidates should send their updated CV, a portfolio or links to past projects and Proof of hands-on experience to: 

[email protected] 

using the job title as subject of the mail.



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