AI Solutions Engineer [Earth Observation/GIS]

FlyPix AI GmbH; United States; Hybrid; USD 77,000 - 122,000; Full time

Benefits offered by this job

Performance bonus

Equity

Flexible hours

Remote/start remotely

Job summary

FlyPix AI GmbH is seeking a specialist to turn customer challenges into practical AI workflows for geospatial data. You will lead enterprise onboarding, configure projects, train models, and design geospatial workflows, collaborating with customers to shape product development.

Must have a GIS/remote sensing/CS/AI/ML degree and experience with geospatial tech, Earth observation, computer vision, or ML, including satellite or drone imagery. German language is a plus, with hybrid work in Germany.

Qualifications

• Degree in GIS, remote sensing, computer science, AI, machine learning, data science, engineering, or a related field.

Responsibilities

• Lead technical onboarding and implementation for enterprise customers.
• Configure projects, prepare spatial datasets, and train computer vision models.
• Design and improve geospatial workflows, model performance, and data quality.
• Guide customers from initial data upload through production deployment and workflow integration.
• Run product training and technical workshops; support sales evaluations and pilots.
• Share implementation feedback with product and engineering teams, and develop reusable solution materials.

Skills

Geospatial technologies

Earth observation

Computer vision

Machine learning

Education

GIS / remote sensing / CS / AI / ML / data science / eng degree

Tools

Data annotation

Job description

Role overview

Turn customer challenges into practical AI workflows for satellite, aerial, drone, and other geospatial data. You’ll guide enterprise implementations from onboarding through production, combining hands-on model and workflow work with customer collaboration and feedback that informs product development.

Responsibilities

• Lead technical onboarding and implementation for enterprise customers.
• Configure projects, prepare spatial datasets, and train computer vision models.
• Design and improve geospatial workflows, model performance, and data quality.
• Guide customers from initial data upload through production deployment and workflow integration.
• Run product training and technical workshops; support sales evaluations and pilots.
• Share implementation feedback with product and engineering teams, and develop reusable solution materials.

Requirements

• Degree in GIS, remote sensing, computer science, AI, machine learning, data science, engineering, or a related field.
• Experience with geospatial technologies, Earth observation, computer vision, or machine learning.
• Hands-on work with satellite, aerial, drone imagery, or other spatial datasets.
• Familiarity with model training, data annotation, and computer vision or machine learning pipelines.
• Strong problem-solving skills and ability to translate customer needs into technical approaches.
• Excellent English communication; German is an advantage.

Nice to have

• Experience with SaaS, cloud platforms, or startup environments.

Benefits and work setup

The role is based in Germany and requires eligibility for a German employment contract. It starts remotely, with an expected transition to a hybrid arrangement that includes regular time in Berlin or Darmstadt. The source describes a permanent contract, flexible hours, performance bonus and equity, and occasional travel to customer sites and industry events in Europe.