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Working Student - Machine Learning

Hypatos

Hypatos

Software Engineering
Remote
Posted 6+ months ago
Deine Aufgaben
At Hypatos.ai, we are seeking a dedicated Working Student to join our ML team, working 20 hours a week (half-time). This role is designed for an M.Sc. student specializing in AI, Computer Science, Data Science, or a related field. The working student will support our AI team by crafting prompts that help large language models (LLMs) understand the desired output.

Key Responsibilities:

  • Utilize prompt engineering skills to assist other team members to improve LLM performance and customer satisfaction
  • Conduct quality assurance (QA) to test and evaluate the performance of LLMs
  • Develop and maintain data visualization tools and dashboards to monitor and report on key metrics
  • Work closely with the customer success team to address AI-related requests from customers
Dein Profil
  • Experience in generative AI and working with LLMs
  • Currently enrolled in an M.Sc. program in Computer Science, Data Science, or a related field
  • Proficiency in Python and SQL
  • Experience with data visualization tools like Tableau, Power BI, or similar is a plus
  • Strong analytical and problem-solving skills
  • Fluency in English
Unser Versprechen
  • We trust amazing people to do amazing things and make a long-term impact - we give you Freedom and ownership of meaningful work that directly impacts the business
  • Beyond a top market compensation, you will enjoy a unlimited vacation days, professional development activities, meal allowance, sporting activities and free beers as well as a hybrid working mode
  • We're building a positive organizational culture where personal and professional growth are just as important as business growth
  • We believe different perspectives make Hypatos a better community - that is why we're committed to building a diverse and inclusive environment where you feel you belong
Über uns
Hypatos is an AI/Machine Learning technology company, applying Deep Learning technology to liberate back-office tasks from manual data entry. We are building advanced Machine Learning models to process complex semi-structured document processing tasks to save costs and enhance organizational efficiency. Our clients benefit from increased processing speed, cost savings, and higher data quality.

We are at a very exciting growth stage at this moment - with a successful Series A funding round from investors including Blackfin Tech, Grazia Equity, UVC Partners, and Plug & Play Ventures, we are expanding our portfolio of AI models and growing internationally, aiming to become a global technology powerhouse. Join us to be part of the mission of improving the way hundreds of millions of people work every day.