Científico de datos

We are currently seeking a talented and motivated working student and/or intern to join our Data Science team in Frankfurt starting June 1st for our exciting project to develop a state-of-the-art tool for assessing the compliance of Large Language Models (LLMs) with latest regulations such as the EU AI Act.

As a working student/intern at spotixx, you will play a crucial role in developing state-of-the-art technical solutions for evaluating the trustworthiness and compliance of LLMs, for example regarding their fairness, explainability and robustness.

Qualifications:

· Knowledge of at least one programming language such as Python, R or Julia.

· Proficiency in machine learning, specifically algorithms for supervised regression & classification problems.

· Good knowledge and large interest in recent developments around Large Language Models (LLMs).

· Interest in topics related to responsible and ethical AI.

· Excellent communication skills and ability to work collaboratively in a remote environment.

· Fluent in spoken and written English, German language skills are advantageous.

Benefits:

· Competitive salary.

· Remote work flexibility, allowing you to work from anywhere.

· Collaborative and inclusive work culture.

· Regular team events and leisure activities to foster an informal atmosphere and strengthen team cohesion.

If you’re passionate about Data Science in general and enthusiastic about recent developments around Large Language Models in particular and you are interested in joining our innovative team dedicated to promoting fairness and transparency in AI, we’d love to hear from you!

We welcome applications from all qualified individuals. In accordance with our commitment to equal opportunity, applicants with disabilities will be given preference when candidates are equally qualified.

Nuestros anuncios de empleo se dirigen siempre a todas las personas profesionalmente capacitadas, independientemente de su edad, sexo, origen, orientación sexual, discapacidad, religión, ideología, etc. La selección de los candidatos está orientada exclusivamente a la cualificación.Se reservan los errores de información y ortografía.