Research Intern Procurement Artificial Intelligence Lab
Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change. Apply online
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Jobbeschreibung
Your Tasks and Educational Objectives
As member of the Procurement Artificial Intelligence Lab you have the chance to be part of our Procurement digitalization initiatives. In detail:
Contribute to ideation sessions together with business stakeholders
Contribute to generic deep learning approaches
Research new methodologies and benchmarks within the deep learning area and estimate relevance for Bayer Procurement
Contribute to technical implementation of previously evaluated methodologies
Document and present results in front of business stakeholders
Who you are
Student (m/f/w) of computer science, statistics, mathematics, physics or comparableFirst professional experience is an advantage
Experience in natural language processing, embeddings with NLTK and/or Spacy
Very good knowledge in the following fields: data science (data mining, data analysis, data visualization), machine learning (neural networks, deep learning, traditional ML methods)
Basic knowledge in one of the following programming languages: Python or Jav
a; ideally experience in Tensorflow
High degree of self-initiative, structured way of working and commitment as well as team working ability
Fluent in English, both written and spoken
We offer a 3-6 months internship (either compulsory or information internship). Please apply online submitting a cover letter, your CV, certificates, proof of enrollment, current transcript of records as well as internship guidelines of your university. Please indicate your earliest start date and timeframe in your application.
Your application
Internships at Bayer are designed to help you gain experience, learn new things and decide which direction you want your career to go in. You will perform practical tasks under the guidance of experienced members of staff, helping you to enhance your theoretical knowledge in the process.Extra Informationen
StatusInaktiv
Standort
Leverkusen
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