
Data Scientist Intern - US
- USA
- Temporary
- Full-time
Location: Remote or Hybrid
Duration: September - December 2025
Compensation: Paid InternshipAbout the Role:Exeevo is seeking a passionate and innovative Data Scientist Intern to join our AI & Data Science team. This role offers a unique opportunity to work on cutting-edge projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers within the Azure ecosystem. The intern will contribute to developing AI-driven solutions that enhance customer engagement and streamline operations for Life Sciences organizations.Key Responsibilities:
- Collaborate with cross-functional teams to design and implement AI/ML models using Python.
- Develop and fine-tune LLMs for specific use cases in the Life Sciences domain.
- Implement RAG pipelines to improve information retrieval and response generation.
- Integrate AI solutions within Azure services, including Azure Machine Learning and Azure Cognitive Services.
- Work with MCP servers to manage model contexts and ensure efficient deployment.
- Analyze model performance and iterate to enhance accuracy and efficiency.
- Pursuing a Master's or Ph.D. in Computer Science, Data Science, or a related field.
- Proficiency in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
- Familiarity with Generative AI concepts and applications.
- Experience working within the Azure ecosystem, including Azure Machine Learning and Azure Cognitive Services.
- Understanding of LLM architectures, RAG methodologies, and MCP server functionalities.
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Hands-on experience with state-of-the-art AI technologies in a real-world setting.
- Mentorship from experienced professionals in the AI and Life Sciences sectors.
- Opportunity to contribute to impactful projects that drive innovation in healthcare.
- Exposure to a collaborative and inclusive company culture that values diversity and innovation.