Technology, Information and Internet

Airteam Aerial Intelligence GmbH

11-50

Funded training, courses and certifications to grow your skills.

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Adapt your start and end times around your life and workload.

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Work from home for part of your working week.

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Work fully remotely, from home or anywhere agreed.

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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?
<ul>
<li>Recent Funding: We're excited to announce our latest round of funding, ensuring our stability and growth. </li>
<li>Impressive Scale: We process roughly 1,500 projects a month, serving a wide range of customers, including renowned names. (check out our website)</li>
<li>Award-Winning Innovation: Our commitment to innovation has been recognized with prestigious awards in 2023, PV magazine and 2024.</li>
<li>Comprehensive Benefits Package: Enjoy perks such as fully paid Urban Sports membership, company pension plan, self development budget, and Lunchit vouchers.</li>
<li>Remote Work Flexibility: We understand the importance of work-life balance and offer the possibility to work remotely by contract.</li>
</ul>
<h2>Tasks</h2>
As a Computer Vision Engineer, you will be at the forefront of our technological advancements, working on a variety of exciting tasks and projects:
<ul>
<li>Computer Vision Algorithms: Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.</li>
<li>Technology Integration: Collaborate with our engineering teams to integrate machine learning models into our platform.</li>
<li>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.</li>
<li>End-to-End ML Pipelines: Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.</li>
<li>Data Processing &amp; Model Deployment: Implement data preprocessing, model training, deployment, and monitoring.Stakeholder Communication: Visualize and communicate your findings to stakeholders to inform decision-making.</li>
</ul>
<h2>Requirements</h2>
Requirements:
<ul>
<li>3-4 years of experience in data science and machine learning, including Computer Vision and Deep Learning.</li>
<li>Skilled in the full ML lifecycle: data preprocessing, model training, evaluation, deployment, and monitoring.</li>
<li>Expertise with conda environments and MLflow (or similar tools).</li>
<li>Proficient in Python, Git/GitHub, Docker, Kubernetes, and cloud platforms.</li>
<li>Strong problem-solving abilities with a proven track record of delivering data-driven insights.</li>
<li>Excellent communication and teamwork skills.</li>
<li>Quick learner, adaptable to new tools, techniques, and challenges.</li>
</ul>
Nice to Have:
<ul>
<li>Previous experience in the construction or related industry.</li>
<li>Just do it and goal oriented mentality</li>
<li>Experience with the technologies of our techstack: GCP, VertexAI, Pytorch, Conda, Mlflow, Github, and Argoworkflows.</li>
<li>Proven ability to build, deploy, and maintain machine learning pipelines and workflows.</li>
</ul>
Just send us your CV or the link to your Linkedin profile and our lovely Hazal from People &amp; Culture will get in touch with you.

Computer Vision Engineer (f/m/d)

Employee

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

Junior Sales Manager (m/w/d)

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