Working Student Prototyping - Smart Labeling (m/f/d)

“Experience is the name everyone gives to their mistakes.” – Oscar Wilde

Our success? A team effort!

We are isento (Portuguese: "free") and realize IT projects in Nuremberg from conception to rollout. As a working student (m/f/d), you will develop a prototype with us as part of a research project in the field of Smart Labeling.

We at isento see ourselves as a team. It is important to us that we can rely on each other at all times – professionally as well as personally. We support each other and help one another, because only then do we achieve our common goal: delivering the best solution for our customers.

Tasks

Your job at isento

• Further development of a prototype for demonstrating use cases
• Development of an intuitive web interface and the associated backend
• Connection of existing training and data pipelines
• Integration of methods for object detection and image segmentation

Qualification

What you bring with you

• You are studying, for example, Computer Science, Data Science, Machine Learning, AI, Electrical Engineering, or a comparable degree program.
• You have good knowledge of Python and PyTorch and can confidently work with existing code.
• You have initial practical experience with Machine Learning / Deep Learning, data pipelines, and image processing (Ideally: BigQuery, GCS, Optuna, AutoML, OpenCV, PIL, Grounding-DINO, COCO).
• Initial experience with REST APIs and web UIs is a plus.
• You work independently, in a structured manner, and enjoy trying things out and finding solutions.
• You can communicate well with your team and our customers in German (at least B2).

Benefits

What we offer you

• Freedom: Flexible working hours and hybrid working ensure the right mix of work and life.
• Moments for eternity: together with you, we celebrate barbecues, spend game nights together, exchange ideas during Duke Days, and toast together at the summer party.
• Growth: contribute and grow – with us as a company, in the team, and personally through individual further training and tailored training programs.
• Excitement: look forward to other exciting projects with our clients and our in-house projects in the fields of robotics, AI, and machine learning.
• Excellent company culture: we have been recognized as a Top Employer for five consecutive years and place great importance on a friendly and respectful working atmosphere.

Sounds good? Then become part of our team!

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