Your tasks

Development, training, optimization and evaluation of machine learning and deep learning models for the visual recognition of plants and weeds
Development and further development of computer vision algorithms for use under real field conditions
Development and enhancement of training datasets and data pipelines for AI models
Development and implementation of software modules for training, inference and model optimization
Integration of AI models into our laser-based weed control system
Conducting tests and validations in the laboratory as well as in the field
Analysis and improvement of the performance and robustness of the models under real operating conditions
Creation of technical documentation and execution of code reviews

This is what you bring with you

Successfully completed studies in the field of computer science, machine learning, data science, robotics or comparable.
Excellent knowledge of machine learning, deep learning, and computer vision.
Good programming skills in Python, ideally also C/C++
Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, etc.)
Experience in handling large datasets and data preparation
Experience with Linux and Git
Very good technical and mathematical understanding
Analytical thinking skills as well as a structured and independent work style
Teamwork skills and enjoyment of interdisciplinary collaboration
good German and English skills

We offer

Permanent position at Escarda Technologies GmbH
Working on a highly innovative agritech technology with great future potential
Plenty of creative freedom in a dynamic, technology-driven startup
Flat hierarchies and short decision-making processes
Collaboration with an interdisciplinary team of software developers, AI experts and engineers
Flexible working hours and the possibility of partial remote work
Working on the BIG Campus in Berlin with a canteen, gym and sports facilities
Regular team events and company events

If you are interested in actively shaping the future of sustainable agriculture, we look forward to receiving your application!

Our team-oriented work methods involve up to three colleagues from your future team in the selection process. Therefore, we kindly ask you to enter your salary expectations exclusively in the designated, strictly confidential field within the application form.

contact

Stefanie Liebscher

Human Resources Officer

AI Developer - Computer Vision / Machine Learning (m/f/d)

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