AI Engineering Intern

vor 1 Woche


Zürich, Schweiz UpCircle Technology AG Vollzeit

Apply for this job and hear back from the team.

At UpCircle Technology AG we are revolutionizing the recycling industry through advanced analytics and artificial intelligence. Our mission is to drive sustainability and efficiency by leveraging cutting-edge technology to optimize recycling processes and reduce environmental impact.

Location

Department: Tech

Type: Internship

Site: On Site

Job Description

Posted on: May 15, 2024

We are seeking a talented engineering intern to join our team and actively contribute to the development of innovative solutions for recycling analytics. The ideal candidate will be highly motivated, eager to work on a deep-tech topic with a large environmental impact, capable of working autonomously and in small teams, and have a strong desire to solve exciting and challenging applied problems. You will collaborate closely with data scientists, software engineers, and domain experts to deploy AI-powered applications that drive operational improvements and promote sustainable practices in recycling.

Responsibilities:
  • Develop and implement machine learning models and algorithms for analyzing recycling data, including image recognition, data science, and predictive analytics.
  • Be part of cross-functional teams to gather requirements, understand business objectives, and translate them into technical solutions.
  • Design and optimize data pipelines for efficient data ingestion, processing, and storage of large-scale recycling datasets.
  • Evaluate and experiment with different machine learning techniques to improve model performance and accuracy.
  • Deploy and maintain AI solutions in production, ensuring scalability, reliability, and cyber security.
  • Stay up-to-date with the latest advancements in AI/ML technologies and propose innovative ideas for enhancing recycling analytics.
Requirements & Qualifications:
  • Strong motivation and goal-oriented working attitude.
  • Curricular and extra-curricular projects in the field of CV, ML, or similar.
  • Currently pursuing a degree (or graduated within the last six months) at a Swiss university.
  • Master’s level study (i.e. in robotics, computer science, mechanical engineering, design).
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