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We are looking for an ML/NLP Intern who is a Computer Science student (MS or PhD candidate) knowledgeable in Natural Language Processing, including deep knowledge of building NLP models using transformers and LLMs. We do not want to reinvent the wheel! We want to leverage some of the LLM models that have already been built and look at potentially training existing models.  We have a problem statement to read in the workshop transcription material and use that to fine-tune an open-source LLM.  We are also working on a product that uses LLM and Big Data for a mental health application.  We are looking at using the HuggingFace or Databricks ecosystem.  The student should be well-versed in using this ecosystem.  If you are an international student on an F1 visa, we prefer candidates who are graduating in December 2025.  Currently, we have one opening for Spring 2026  

Responsibilities:

  • Strong knowledge of Python code and related libraries
  • Strong skills in CI/CD pipeline and Github
  • Work on a financial app that deals with options trading.  Requires some knowledge of the U.S. stock market, stock and options trading.
  • Knowledge of building an AI chatbot that uses written and verbal instructions to answer traders' questions.  We will build a chatbot using the RAG pipeline and one of the suitable AI models.  Knowledge of using commercial AI models and using their API's.
  • Knowledge of using AI tools such as Claude and Cursor to create designs, Python code and JIRA integrations
  • Knowledge of Agile development and Kanban boards
  • Knowledge of building a UI/UX application
  • n-tier code development

Requirements:

  • Bachelor’s degree in computer science.  Currently pursuing a Master's or PhD in Computer Science (ML/AI)
  • Certifications/licenses: Machine Learning and Natural Language Processing.
  • Skilled in SQL, Adobe Acrobat, PowerPoint, Python, Excel, WebEx, Word, R, Linux, GIT/GitHub, deep learning framework (Pytorch), data science packages (NumPy, Pandas), AWS, transformers (Hugging Face), chatbots, and dialogue systems.
  • Experience in building AI-powered chatbots from scratch using AI, ML, and NLP technologies.
  • Knowledge of Big Data Engineering, ETL
  • Good time-management skills.

For the past few years, CloudLeap Technologies, LLC has supported Federal Government customers by providing “cutting edge” big data & analytics, machine learning, artificial intelligence, identity and access management services, and middle-tier application development. In addition to providing award-winning and cutting-edge service, we also build AI and ML products to solve our customers’ complex and challenging data problems. We leverage our relationship with our Cloud partners to provide these services and product development on-premises and on the cloud. We are located in Clarksville, MD