Geospatial AI Developer

Forest Key, a leading company in Finland, is seeking a Geospatial AI Developer to join their team in Joensuu. This part-time position offers a competitive hourly wage based on Finnish collective agreements and the opportunity to work on real-world forestry problems using artificial intelligence, remote sensing, spatial information, and software development. The ideal candidate should have strong Python programming skills, practical experience in AI or machine learning, and experience with remote mapping, spatial information, and laser scanning or point cloud data. Fluent English language skills are also required.

What We Offer

The benefits, resources, and opportunities we offer to support a positive work experience and long-term growth are listed below:

• Part of a close and growing team where your work has a direct impact on the technical solutions being developed.
• Work on real, practical forestry problems.
• Combine artificial intelligence, software development, spatial information and remote sensing.
• Participate in Finnish and international projects.
• Be involved in developing new digital forestry services.
• Take on increasing technical responsibility as experience accumulates.

What We Expect

The qualities, work ethics, and standards we expect to maintain a productive and respectful workplace are listed below:

• Strong Python programming skills.
• Practical experience in artificial intelligence or machine learning.
• Experience in remote mapping, spatial information and laser scanning or point cloud data.
• Suitable experience or understanding of forestry and forestry applications.
• Ability to develop repeatable and maintainable technical solutions from analytical work.
• Ability to work independently and solve demanding technical problems.

Responsibilities

This opportunity is for motivated, responsible individuals eager to learn and thrive in a team-oriented environment, who possess the qualities mentioned below:

• Develop artificial intelligence-based remote mapping and spatial data processing solutions for forestry applications.
• Develop artificial intelligence and machine learning solutions utilizing remote sensing, geospatial and forest resource data.
• Process and analyze satellite, laser scanning, drone and other extensive spatial data.
• Develop Python-based workflows and maintainable processing pipelines.
• Implement solutions in cloud environments or other scalable computing environments.

How to Apply?

If you are interested in joining the team and taking the next step in your professional journey, please follow the instructions below to submit your application.

Please provide your updated resume, relevant documents, and any other requested information. Applications will be reviewed carefully, and suitable candidates will be contacted for the next steps in the selection process.

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