AIRTEAM Aerial Intelligence GmbH

Technology, Information and Internet

Airteam Aerial Intelligence GmbH

11-50

Germany

**About Airteam**

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 Fullstack Data Scientist 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 various machine learning tasks, including customer churn prediction. Help co-create a digital, climate-neutral product that assists roofers and solar planners in making informed decisions and shaping the future of construction technology with us!

## Tasks

*   Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.
*   Collaborate with our drone technology team to integrate machine learning models into the drone platform.
*   Analyze company data to uncover insights that drive our growth strategy.
*   Collaborate with cross-functional teams to define and solve data-driven business challenges.
*   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 your findings to stakeholders to inform decision-making.

## Requirements

*   1-2 years of hands-on experience in data science and machine learning, including exposure to Computer Vision and Deep Learning models.
*   Proven ability to work across the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, deployment, and ongoing monitoring.
*   Experience in software engineering, including proficiency in Python, Git/Github, and with containerization technologies (e.g. Docker and Kubernetes) and cloud-based platforms.
*   Strong problem-solving skills and a track record of delivering data-driven insights.
*   Strong communication and teamwork abilities.
*   Open to new challenges and tasks that may require learning new tools or techniques. Your ability to quickly acquire new skills will be a valuable asset to our team.

_Nice to Have:_

*   Previous experience in the construction or related industry.
*   Experience in working in a startup environment
*   Experience with Pytorch
*   Experience with FastApi, Django, Helm, Terraform and our specific tech stack, particularly the Google Cloud Platform (GCP) ecosystem.
*   Proven ability to build, deploy, and maintain machine learning pipelines and workflows using tools like Airflow.

## Benefits

As an Airteamer, you will be part of an ambitious, international team working in our modern Co-Working Space in the Heart of Berlin. Our Happiness Ambassadors provide regular team events and workshops. People & Culture is always there for you. Flexibility and trust are very important to us, so you have the opportunity for hybrid working and also for workations. Our flat hierarchies and short communication channels give you the freedom you need to develop and implement your own ideas. We prioritize the well-being of our team members. That's why we provide each employee with an Urban Sports membership, giving you access to a wide range of fitness and wellness facilities throughout the city. We provide a dedicated budget for your continuous learning journey.

Does this sound interesting?

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.

Employee

Professional / Experienced

<p><strong>About Airteam</strong></p>
<p>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&#39;re looking for a talented mid-level Fullstack Data Scientist to be part of our dynamic team. You&#39;ll work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and various machine learning tasks, including customer churn prediction. Help co-create a digital, climate-neutral product that assists roofers and solar planners in making informed decisions and shaping the future of construction technology with us!</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones.</li>
<li>Collaborate with our drone technology team to integrate machine learning models into the drone platform.</li>
<li>Analyze company data to uncover insights that drive our growth strategy.</li>
<li>Collaborate with cross-functional teams to define and solve data-driven business challenges.</li>
<li>Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies.</li>
<li>Implement data preprocessing, model training, deployment, and monitoring.</li>
<li>Visualize and communicate your findings to stakeholders to inform decision-making.</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>1-2 years of hands-on experience in data science and machine learning, including exposure to Computer Vision and Deep Learning models.</li>
<li>Proven ability to work across the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, deployment, and ongoing monitoring.</li>
<li>Experience in software engineering, including proficiency in Python, Git/Github, and with containerization technologies (e.g. Docker and Kubernetes) and cloud-based platforms.</li>
<li>Strong problem-solving skills and a track record of delivering data-driven insights.</li>
<li>Strong communication and teamwork abilities.</li>
<li>Open to new challenges and tasks that may require learning new tools or techniques. Your ability to quickly acquire new skills will be a valuable asset to our team.</li>
</ul>
<p><em>Nice to Have:</em></p>
<ul>
<li>Previous experience in the construction or related industry.</li>
<li>Experience in working in a startup environment</li>
<li>Experience with Pytorch</li>
<li>Experience with FastApi, Django, Helm, Terraform and our specific tech stack, particularly the Google Cloud Platform (GCP) ecosystem.</li>
<li>Proven ability to build, deploy, and maintain machine learning pipelines and workflows using tools like Airflow.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<p>As an Airteamer, you will be part of an ambitious, international team working in our modern Co-Working Space in the Heart of Berlin. Our Happiness Ambassadors provide regular team events and workshops. People &amp; Culture is always there for you. Flexibility and trust are very important to us, so you have the opportunity for hybrid working and also for workations. Our flat hierarchies and short communication channels give you the freedom you need to develop and implement your own ideas. We prioritize the well-being of our team members. That&#39;s why we provide each employee with an Urban Sports membership, giving you access to a wide range of fitness and wellness facilities throughout the city. We provide a dedicated budget for your continuous learning journey.</p>
<p>Does this sound interesting?</p>
<p>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.</p>


(Mid) Data Scientist/Machine Learning Engineer (f/m/d)

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