Logo B.I.G. Berlin.Industrial.Group

AI Developer - Computer Vision / Machine Learning

Job

  • Level
    Experienced
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop machine learning models for plant and weed recognition, optimize algorithms for field applications, and integrate AI solutions into an innovative weed control system.

    Job Technologies

    Your role in the team

    • Development, training, optimization, and evaluation of machine learning and deep learning models for visual recognition of plants and weeds.
    • Development and further development of computer vision algorithms for use in real-world field conditions.
    • Development and enhancement of training datasets as well as 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 field operations.
    • Analysis and improvement of the performance and robustness of the models under real-world operating conditions.
    • Creation of technical documentation as well as conducting code reviews.

    This text has been machine translated. Show original

    Our expectations of you

    Education

    • Successfully completed studies in Computer Science, Machine Learning, Data Science, Robotics, or a related field.

    Qualifications

    • Excellent knowledge of Machine Learning, Deep Learning, and Computer Vision.
    • Good programming skills in Python, ideally also in C/C++.
    • Very good technical and mathematical understanding.
    • Analytical thinking as well as a structured and independent way of working.
    • Ability to work in a team as well as enjoyment of interdisciplinary collaboration.
    • Good knowledge of German and English.

    Experience

    • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, or similar).
    • Experience in handling large datasets as well as data preprocessing.
    • Experience with Linux and Git.

    This text has been machine translated. Show original

    What we offer

    • Permanent employment at Escarda Technologies GmbH.
    • Working on a highly innovative agritech technology with great future potential.
    • A lot 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.
    • 30 vacation days per year with the option to convert vacation days (+/-5 days).
    • Flexible working hours and the possibility of partial remote work.
    • Work at the B.I.G. Campus in Berlin with a canteen, fitness room, and sports facilities.
    • Regular team events and company gatherings.

    This text has been machine translated. Show original

    Benefits

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Berlin

      Germany

    This is your employer

    B.I.G. Berlin.Industrial.Group

    B.I.G. Berlin.Industrial.Group

    B.I.G. - Berlin.Industrial.Group. is a reputable holding company based in Berlin-Marzahn, specializing in innovative technology companies in the fields of laser technology and industrial measurement. It develops tailored solutions for sectors such as medical technology, automotive, and mechanical engineering, combining the entrepreneurial spirit of startups with extensive industrial experience. Since its founding in 2000, B.I.G. has employed over 320 people in a high-tech ecosystem.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Industry, Production
  • Logo B.I.G. Berlin.Industrial.Group

    AI Developer - Computer Vision / Machine Learning

    Location
    Berlin
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

    More Jobs