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Senior Machine Learning Engineer
Descripción de la vacante
A fast-growing geospatial AI company based in Spain seeks a Senior Machine Learning Engineer to shape and scale their ML platform. This remote role focuses on developing and deploying ML models while ensuring reliable scaling. The ideal candidate will have over 4 years of experience in ML engineering, strong Python skills, and familiarity with Docker and Kubernetes. Join a dynamic team that emphasizes ownership and personal growth.
Servicios
Formación
- 4+ years of professional experience in ML engineering or applied AI.
- Attention to detail and ability to follow specific instructions.
Responsabilidades
- 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.
Conocimientos
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.
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.
- 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
- 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 kike@flypix.ai
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.