Computer Vision Engineer
vor 2 Monaten
Airteam Aerial Intelligence GmbH is a pioneering SaaS startup in the German construction and solar industry, revolutionizing the way roofers and solar planners make informed decisions. Our AI-powered data processing cloud platform is designed to assist professionals in the industry, and we're looking for a talented Computer Vision Engineer to join our dynamic team.
Job SummaryWe're seeking a skilled Computer Vision Engineer to work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and automatic geometry reconstruction. As a key member of our team, you'll have the opportunity to co-create a digital, climate-neutral product that shapes the future of construction technology.
Key Responsibilities- Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
- Collaborate with our engineering teams to integrate machine learning models into our platform.
- Work under the supervision of the Head of Machine Learning in a cross-functional team to solve business challenges with data-driven solutions.
- Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.
- Implement data preprocessing, model training, deployment, and monitoring.
- Visualize and communicate findings to stakeholders to inform decision-making.
- 3-4 years of experience in data science and machine learning, including Computer Vision and Deep Learning.
- Skilled in the full ML lifecycle: data preprocessing, model training, evaluation, deployment, and monitoring.
- Expertise with conda environments and MLflow (or similar tools).
- Proficient in Python, Git/GitHub, Docker, Kubernetes, and cloud platforms.
- Strong problem-solving abilities with a proven track record of delivering data-driven insights.
- Excellent communication and teamwork skills.
- Quick learner, adaptable to new tools, techniques, and challenges.
- Previous experience in the construction or related industry.
- Experience with the technologies of our tech stack: GCP, VertexAI, PyTorch, Conda, MLflow, GitHub, and Argo workflows.
- Proven ability to build, deploy, and maintain machine learning pipelines and workflows.
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