Senior Machine Learning Engineer

About FlyPix AIFlyPix AI is a fast-growing German company building advanced geospatial AI solutions. We develop an innovative SaaS platform that combines 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 energy, environmental monitoring, infrastructure, and beyond.The RoleWe’re looking for a highly skilled and motivated Senior Machine Learning Engineer to help us 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.ResponsibilitiesDesign, 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.Requirements4+ 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 OVHCloud)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 productionNice to HaveExperience 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 AIRemote-first – Fully remote contract according to German law, 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.