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AI Working Student gn

AI Working Student gn

castLabs GmbHBerlin, Berlin, Germany
Vor 28 Tagen
Stellenbeschreibung

Remote or Berlin Office (Flexible)

Position Type : Parttime (20 hours per week) flexible work schedule

Step into an exciting opportunity as our new AI Student welcoming applicants of all genders! This role is your gateway to cuttingedge AI technologies where youll help build and refine AIpowered solutions to drive innovation across multiple product lines.

About Us : At castLabs we pioneer innovative solutions in video streaming software cloud services and content security . Our forensic watermarking product leverages advanced technologies to safeguard media content integrity and traceability. We are looking for an AI student to support the development and training of specialized computer vision models tailored to enhance the capabilities of our forensic watermarking system. This is a handson product development role not a researchfocused position.

Key Responsibilities :

  • Develop and train computer vision models tailored to forensic watermarking applications.
  • Collaborate with the Engineering and Product teams to define model objectives training data requirements and evaluation criteria.
  • Generate preprocess and validate highquality training data.
  • Design and implement machine learning workflows for model training evaluation and optimization.
  • Analyze model performance and propose actionable enhancements.
  • Integrate the models into existing workflows and assess scalability.
  • Document development processes methodologies and key findings.

Profile Requirements :

  • Currently pursuing a Masters degree in Artificial Intelligence Machine Learning Computer Science or a related field.
  • Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
  • Solid understanding of machine learning principles and foundational con cepts :
  • Convolutions transformers fully connected layers residual connections etc.
  • Backpropagation loss functions regression / classification tasks supervised / unsupervised learning methods.
  • Problemsolving mindset with the ability to work independently and deliver results.
  • Strong communication and teamwork skills.

    • Preferred Qualifications :

  • Handson experience in AI model deployment and MLOps practices .
  • Background in computer vision technologies and model optimization.
  • Familiarity with tools like PyTorch Lightning or Keras .
  • Knowledge of database systems and APIs for data storage / retrieval.
  • Proficiency with Git and collaborative coding platforms like GitHub or GitLab .
  • Interest or experience in media technology solutions or AIdriven tools .

    • The Perks :

  • A culture thats as openhearted and nurturing as it is dynamic and empowering.
  • The liberty to chart your own course within a structure inspired by Holacracy free from the conventional corporate ladder.
  • Endless opportunities for personal and professional growth encouraging you to shine and contribute in ways only you can.
  • Flexibility that respects your lifes rhythm blending battle hours with your personal quests.
  • Meaningful rewards that recognize your important contributions to our success.
  • Annual events to celebrate our shared journey and achievements.

    • Join us at castLabs and dive into a vibrant international melting pot of innovation.

    Qualified people are considered without regard to age race creed color national origin ancestry marital status affectional or sexual orientation gender identity or expression disability nationality sex or veteran status.

    WE DONT SEEK OR ACCEPT UNSOLICITED RESUMES OR CVS FROM RECRUITMENT AGENCIES. WE ARENT RESPONSIBLE FOR AND WILL NOT PAY ANY FEES COMMISSIONS OR ANY OTHER PAYMENT RELATED TO UNSOLICITED RESUMES OR CVS EXCEPT AS REQUIRED IN A WRITTEN CONTRACT BETWEEN CASTLABS AND THE RECRUITMENT AGENCY OR PARTY REQUESTING PAYMENT OF A FEE

    Key Skills

    Anti Money Laundering,Access Control System,Catering,Assessment,Communication

    Employment Type : Full Time

    Experience : years

    Vacancy : 1