Senior Machine Learning Engineer

About FlyPix AI 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. Requirements * 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.). Why FlyPix AI 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.