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AI/ML Intern

Acarin Inc
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We are looking for a highly motivated AI/ML Intern who will work closely with our team to conduct research on the latest advancements in Retrieval-Augmented Generation (RAG) techniques and implement these methods in Python. This role offers hands-on experience in the rapidly evolving fields of generative AI, deep learning (DL), and natural language processing (NLP), enabling the intern to work on state-of-the-art AI applications.

Key Responsibilities

  • Design and implement scalable data and document processing and analysis pipelines.
  • Develop and integrate NLP (Natural Language Processing) and LLM (Large Language Model) models for semantic product search and summarization.
  • Conduct research and development in Generative AI, focusing on building knowledge graphs.
  • Collaborate with data scientists and engineers to refine data for predictive modeling.
  • Assist in the collection, cleansing, and transformation of large datasets.
  • Contribute to the development of a purpose-driven agentic pipeline framework.

Qualifications

  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong programming skills in Python, including experience with Pandas, NumPy, and Scikit-learn.
  • Familiarity with NLP tools and libraries (e.g., NLTK, spaCy, or Transformers).
  • Experience with data processing and analysis tools (e.g., SQL, Apache Spark).
  • Understanding of machine learning concepts and algorithms.
  • Excellent problem-solving and analytical skills.
  • Ability to work collaboratively in a team environment.
  • Strong communication skills, both verbal and written.

Preferred Qualifications

  • Prior experience or projects involving NLP or machine learning.
  • Knowledge of cloud computing services (e.g., AWS, Google Cloud Platform).
  • Familiarity with version control systems, preferably Git.

What We Offer

  • Competitive stipend based on your skillset
  • Hands-on experience with real-world data engineering and NLP projects.
  • Databricks training.
  • Azure/AWS/GCP data infrastructure access
  • Mentorship from experienced professionals in the field.
  • A collaborative, innovative, and inclusive work environment.
  • Opportunities for professional development and networking.