Remote Data Scientist Intern - US

Description:

• Exeevo is a global leader in customer relationship management (CRM) solutions for the Life Sciences industry.
• The company offers an AI-powered, cloud-based platform that unifies sales, marketing, medical, and service functions.
• Exeevo is seeking a passionate and innovative Data Scientist Intern to join their AI & Data Science team.
• This internship is remote or hybrid, lasting from September to December 2025, and is a paid position.
• The intern will work on projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers within the Azure ecosystem.
• Key responsibilities include collaborating with teams to design and implement AI/ML models using Python, developing and fine-tuning LLMs, implementing RAG pipelines, integrating AI solutions within Azure services, managing model contexts with MCP servers, and analyzing model performance.

Requirements:

• Candidates should be 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 is required.
• Familiarity with Generative AI concepts and applications is preferred.
• Experience working within the Azure ecosystem, including Azure Machine Learning and Azure Cognitive Services, is necessary.
• Understanding of LLM architectures, RAG methodologies, and MCP server functionalities is important.
• Strong problem-solving skills and the ability to work collaboratively in a team environment are essential.

Benefits:

• Interns will gain 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 will be provided.
• There is an opportunity to contribute to impactful projects that drive innovation in healthcare.
• Interns will be exposed to a collaborative and inclusive company culture that values diversity and innovation.