Tech Stack
NumpyPandasPythonPyTorchScikit-Learn
About the role
- Gain knowledge and experience in a selected specialization through hands-on learning
- Develop, implement, assess, and enhance data-driven models using various machine learning techniques
- Utilize multi-modal large language models (LLMs) for different downstream tasks in specific domains
- Perform ad-hoc analysis and present findings in a clear and concise manner
- Familiarize yourself with the assigned project ecosystem and its mission
- Actively participate in team coordination meetings and events
- Onboard quickly with support from a dedicated mentor and company onboarding program
- Work in a hybrid model with flexible hours and 50% capacity (half-time) for four months
Requirements
- Be a computer science student
- Excel in a team-oriented environment and possess strong communication skills
- Familiarity with or interest in traditional machine learning approaches and deep learning
- Experience with descriptive and predictive data analysis, data visualization, hypothesis testing and evaluation
- Familiarity with large language models (LLMs), retrieval augmented generation (RAG) and libraries such as LangChain and LlamaIndex
- Solid command of Python and libraries such as Scikit-Learn, Pandas, Pytorch, and NumPy
- Advantageous to have general computer science and software development skills
- Applicants must be below the age of 34 (legal limitation)