Computer Vision Engineer (f/m/d)
Do you want to join an innovative startup in the German construction and solar industry? Airteam, a SaaS startup, offers an AI-powered data processing cloud platform for roofers and solar planners.
We're looking for a talented mid-level Computer Vision Engineer to be part of our dynamic team. You'll work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and automatic geometry reconstruction.
Help co-create a digital, climate-neutral product that assists roofers and solar planners in making informed decisions and shape the future of construction technology with us !
Why AIRTEAM?
- Recent Funding : We're excited to announce our latest round of funding, ensuring our stability and growth.
- Impressive Scale : We process roughly 1,500 projects a month, serving a wide range of customers, including renowned names.
check out our website)
- Award-Winning Innovation : Our commitment to innovation has been recognized with prestigious awards in 2023, PV magazine and 2024.
- Comprehensive Benefits Package : Enjoy perks such as fully paid Urban Sports membership, company pension plan, self development budget, and Lunchit vouchers.
- Remote Work Flexibility : We understand the importance of work-life balance and offer the possibility to work remotely by contract.
Tasks
As a Computer Vision Engineer, you will be at the forefront of our technological advancements, working on a variety of exciting tasks and projects :
- Computer Vision Algorithms : Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
- Technology Integration : Collaborate with our engineering teams to integrate machine learning models into our platform.
- Cross-Functional Collaboration : Work under the supervision of the Head of Machine Learning in a cross-functional team composed of another Machine Learning Engineer, Backend Engineer and dedicated Product Manager to solve business challenges with data driven solutions.
- End-to-End ML Pipelines : Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.
- Data Processing & Model Deployment : Implement data preprocessing, model training, deployment, and monitoring.Stakeholder Communication : Visualize and communicate your findings to stakeholders to inform decision-making.
Requirements
Requirements :
- 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.
Nice to Have :
- Previous experience in the construction or related industry.
- Just do it and goal oriented mentality
- Experience with the technologies of our techstack : GCP, VertexAI, Pytorch, Conda, Mlflow, Github, and Argoworkflows.
- Proven ability to build, deploy, and maintain machine learning pipelines and workflows.
Just send us your CV or the link to your Linkedin profile and our lovely Hazal from People & Culture will get in touch with you.
Airteam ist eine durch KI-gestützte Software um Drohnendaten in CAD Modelle umzuwandeln.