Working Student

Vor 2 Tagen

Berlin, Deutschland Peers Solutions Vollzeit

We are seeking a highly motivated and talented working student to join our team as a Machine Learning Intern with a focus on Natural Language Processing (NLP). As a working student, you will have the opportunity to work on cutting-edge projects in the field of NLP, leveraging your skills and knowledge to contribute to our research and development efforts.

**Responsibilities**:

- Collaborate with the research team to develop and implement NLP algorithms and models.
- Assist in data collection, preprocessing, and annotation for NLP projects.
- Conduct research on the latest advancements in NLP and explore innovative approaches to solving NLP challenges.
- Analyze and interpret experimental results, providing insights and recommendations.
- Participate in team meetings, brainstorming sessions, and project discussions.
- Stay up-to-date with the latest trends, techniques, and tools in machine learning and NLP domains.
- Document research findings, methodologies, and experimental results in a clear and organized manner.

We offer a dynamic and collaborative work environment, providing an excellent opportunity for hands-on experience in the field of machine learning and NLP. This internship will allow you to work closely with experienced professionals, expand your knowledge and skills, and contribute to real-world projects.
- Currently enrolled as a student pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Strong understanding of machine learning principles and algorithms.
- Familiarity with NLP concepts such as text classification, sentiment analysis, named entity recognition, language modeling, and sequence-to-sequence models.
- Experience with programming languages such as Python, along with libraries and frameworks commonly used in NLP, such as NLTK, spaCy, TensorFlow, or PyTorch.
- Proficiency in data preprocessing techniques, including text normalization, tokenization, and feature extraction.
- Solid problem-solving skills and the ability to think critically and analytically.
- Excellent communication and teamwork skills, with the ability to collaborate effectively in a fast-paced environment.
- Demonstrated passion for machine learning, NLP, and artificial intelligence through personal projects, coursework, or research papers (if applicable).

Preferred Qualifications:

- Previous experience or coursework in NLP-related projects or research.
- Familiarity with popular NLP libraries and frameworks, such as Hugging Face's Transformers or AllenNLP.
- Understanding of data visualization techniques to present and interpret results.

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