Computer Vision (AI) Engineer

Technology
Ogun State
October 17, 2025
Full Time

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Job Description

AMO-HR Solutions – Our client, Proforce Galaxies Limited, is on a mission to become Africa’s leading space and satellite technology company. They specialize in cutting-edge innovations that harness satellite data and artificial intelligence to solve critical challenges in agriculture, urban development, environmental monitoring, and disaster response.

They are recruiting to fill the position below:

Job Title: Computer Vision (AI) Engineer

Location: Ode-Remo, Ogun
Employment Type: Full-time

Summary

  • We are seeking a talented and passionate Computer Vision (AI) Engineer to join our growing team of experts.
  • This role will be instrumental in building intelligent systems that transform satellite imagery into actionable insights, enabling data-driven decisions across multiple industries.

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, Back-End 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
17th November, 2025.

How to Apply
Interested and qualified candidates should send their updated CV, a portfolio or links to past projects, and Proof of hands-on experience to: hr@proforcegalaxies.com cc:amohrsolutions@gmail.com using the Job Title as the subject of the mail.

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