Working Student (f/m/d) AI Operational Data Analysis & Troubleshooting

Magazino GmbH

80639 München
Keine Erfahrung notwendig
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Job Zusammenfassung

Du entwickelst KI-Tools zur Analyse von Roboterdaten und erkennst frühzeitig Probleme. Du verbesserst Workflows zur Fehlerbehebung und arbeitest mit Daten. Du hilfst, Prototypen in praktische Tools umzusetzen.

Über den Job:

YOUR TASKS

  • You support the development of AI‑assisted tools for analyzing robot logs, telemetry, and dashboard data to detect incidents and degradation early.
  • You prototype and improve workflows for troubleshooting support, including semantic search, retrieval‑augmented generation (RAG), and anomaly detection approaches.
  • You work with existing data sources such as Jira tickets, logs, Looker dashboards, and BigQuery‑based metrics to evaluate data quality and derive actionable insights.
  • You analyze results, compare approaches, and help turn promising prototypes into practical tools for engineering and customer‑facing teams.
  • You collaborate with engineering and product teams to define experiments, validate usefulness, and drive your own tasks and sub‑projects.

REQUIREMENTS

  • You are currently pursuing a Bachelor’s or Master’s degree in computer science, data science, robotics, software engineering, or a related field.
  • You have strong programming skills in Python, and solid general software engineering skills are expected.
  • You are interested in applied AI, data analysis, and practical problem‑solving in a real product and operations environment.
  • You have a basic understanding of machine learning, data processing, or information retrieval concepts.
  • You are able to work in a structured way, with curiosity for messy real‑world data and iterative experimentation.
  • Fluency in English is required; German is an asset.
  • The job is mostly done on-site, so ideally you live in/close to Munich.
  • Nice to have:
  • Experience with data and AI tooling, such as SQL, BigQuery, pandas, notebooks, log analysis, monitoring, anomaly detection, or LLM-based approaches like RAG and embeddings.
  • Familiarity with operational and product support environments, including cloud tools or APIs such as Jira or Looker, and ideally bring exposure to robotics, technical operations, or troubleshooting workflows.

WHAT WE HAVE TO OFFER

  • Cutting-edge technology: As pioneers in robotics we can navigate and manipulate without rails and guides and offer solutions to processes that no one could automate ever before!
  • Team: We are an international team with more than 25 nationalities. You’ll work in a team with exceptionally smart, humble, collaborative and hardworking individuals.
  • Culture: Come as you are! Join a vibrant, inventive, and diverse team that values collaboration over hierarchy. To innovate you need to fail from time to time — we always learn and improve.
  • Workplace: Our office is located near the S‑Bahn station “Hirschgarten”. We work in a loft-style office with great equipment, our own workshop and testing area.
  • Full Board: You don’t feel like thinking about what you want to have for lunch tomorrow, not to mention preparing it? Luckily, our french cook treats us with a freshly cooked free lunch everyday! And as the cherry on top, there is a packed fridge with drinks, fresh fruits and of course coffee!
  • Flexibility: Flexibility is a top priority for us. Our hybrid working model for positions where presence is dispensable helps to achieve a healthy work-life balance.
  • Benefits: We offer attractive holiday, EGYM, health care, and compensation packages. Learn more about our current benefits here.

At Jungheinrich Robotics, where Magazino GmbH found its place, fostering inclusivity is very important to us. We are dedicated to create an inclusive environment for all candidates and provide equal opportunities to all qualified applicants regardless of gender, ethnicity, age, national origin, sexual orientation, culture, or education. If you need any reasonable adjustments to make the application process accessible for you, we’ll do our best to accommodate you. Feel free to approach us for that!

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Job-ID.: 28933753

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