Computer Vision Engineer (m/f/d) | Berlin, Hybrid

Airteam Aerial Intelligence GmbH · via Arbeitnow ·

TypeRemote job
LocationBerlin
Posted9 hours ago
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners. As a mid-level Computer Vision Engineer, you'll build 2D-to-3D object detection and automatic geometry reconstruction from drone data. Your work helps roofers and solar planners make informed decisions and drives a climate-neutral product.

Tasks

Develop and implement computer vision algorithms for 2D-to-3D object detection using drone data

Integrate ML models into our platform together with the engineering teams

Build end-to-end ML pipelines with GCP, Python, Argo, PyTorch and MLflow

Implement data preprocessing, model training, deployment and monitoring

Visualize and communicate findings to stakeholders

Requirements

2-4 years of commercial experience in data science/ML, including Computer Vision and Deep Learning

Experience across the full ML lifecycle (preprocessing, training, evaluation, deployment, monitoring), incl. conda and MLflow or comparable tools

Solid software engineering skills: Python, Git/GitHub, Docker/Kubernetes, cloud platforms

Strong problem-solving, communication and teamwork skills, plus a willingness to learn new tools quickly

Fluent English (written and spoken), as our team works internationally (German is a plus, but not required)

Nice-to-have

Experience in construction or a related industry

Experience with our stack: GCP, Vertex AI, PyTorch, Conda, MLflow, GitHub, Argo Workflows

Experience building and maintaining ML pipelines

A goal-oriented, "just do it" mentality

Benefits

Hybrid work, workations, and remote work by contract

Modern working space in the heart of Berlin

30% contribution towards your pension savings

Regular team events and workshops

Flat hierarchies, short communication channels, room for your own ideas

Join Airteam in Berlin to revolutionize drone data with AI! As a Computer Vision Engineer, blend tech innovation with creativity in a dynamic, hybrid work setting. Apply now!

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