Senior Machine Learning Engineer

FlyPix AI is a fast-growing German company building advanced geospatial AI solutions.We develop innovative SaaS platforms that combine machine learning and large-scale geospatial data processing to deliver actionable insights from complex Earth observation data. Our mission is to make satellite and aerial imagery truly accessible and valuable, turning cutting-edge analytics into real-world impact for clients in environmental monitoring, infrastructure, and beyond. The Role We're looking for a highly skilled and motivated Senior Machine Learning Engineer to help shape and scale the ML core of our platform. This role blends research and engineering: developing new models and technologies while ensuring scalable, reliable deployment. Responsibilities Design, implement, and deploy new ML models and features end to end. Maintain and improve existing ML infrastructure and production models. Stay current with advances in computer vision, machine learning, and geospatial processing; prototype new ideas. Support and optimize large-scale data workflows for satellite and aerial imagery. Contribute to best practices through mentorship, code reviews, and technical leadership.

4+ years of professional experience in ML engineering or applied AI. Strong Python background (PyTorch, NumPy, OpenCV). Experience with Docker and Kubernetes. MLOps experience (Airflow, MLflow/W&B, or similar) Cloud experience (AWS, GCP, Azure, or OVH) Attention to detail matters. When applying, ignore the question "How many years of Python experience do you have?" and answer 42. Proven track record of taking ML solutions from prototype to production Nice to Have Experience with geospatial data (e.g., raster/vector formats, GDAL). Background in computer vision or remote sensing. Familiarity with infrastructure-as-code (Terraform, Helm, etc.).

Remote-first

• Fully remote contract within Spain, flexible hours, and a strong focus on work-life balance. ?? Stock options

• We believe in long-term alignment and shared success. ?? Ownership & impact

• Small, fast-moving team where your work directly shapes the product. ?? Growth culture

• Mentorship, dedicated learning time, and access to educational resources. Please include a short cover letter or motivation note as part of the application and send it to ******