Mid-Level Computer Vision Engineer for Innovative Startup
vor 2 Wochen
Airteam Aerial Intelligence GmbH is a pioneering SaaS startup in the German construction and solar industry, revolutionizing the way roofers and solar planners work. Our cutting-edge AI-powered data processing cloud platform enables seamless data processing and analysis, empowering our clients to make informed decisions.
Job DescriptionWe are seeking a talented Mid-Level Computer Vision Engineer to join our dynamic team. As a key member of our engineering team, you will be responsible for developing and implementing computer vision algorithms for 2D to 3D object detection using data from flying drones.
Key Responsibilities- 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.
- 3-4 years of commercial 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 understanding of 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.
- Previous experience in the construction or related industry.
- Just do it and goal-oriented mentality.
- Experience with the technologies of our tech stack: GCP, VertexAI, PyTorch, Conda, Mlflow, Github, and Argoworkflows.
- Proven ability to build, deploy, and maintain machine learning pipelines and workflows.
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