Data Scientist – NLP & Gen AI

D

DATAMAXIS

Data Scientist – NLP & Gen AI

Baltimore, MD
Full Time
Paid
  • Responsibilities

    Job Summary: We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural Language Processing (NLP) techniques, working with large datasets, and leveraging LLMs (Large Language Models) to solve real-world business problems.

    Key Responsibilities

    • Design, develop, and deploy machine learning and NLP models for text-based applications.
    • Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis.
    • Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.
    • Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks.
    • Perform data cleaning, preprocessing, and feature engineering on structured and unstructured datasets.
    • Develop pipelines for model training, evaluation, and deployment.
    • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
    • Stay updated with the latest advancements in AI, NLP, and Gen AI technologies.

    Required Skills & Qualifications

    • Strong programming experience in Python.
    • Hands-on experience with NLP (Natural Language Processing) techniques.
    • Proficiency in libraries such as NLTK, Pandas, NumPy, Scikit-learn.
    • Experience working with LLMs (e.g., GPT, BERT, etc.).
    • Knowledge of Generative AI concepts and frameworks.
    • Experience in data preprocessing, data analysis, and model building.
    • Understanding of machine learning algorithms and model evaluation techniques.
    • Strong problem-solving and analytical skills.

    Preferred Qualifications

    • Experience with Deep Learning frameworks like TensorFlow or PyTorch.
    • Familiarity with Hugging Face Transformers or similar libraries.
    • Experience in deploying models using APIs or cloud platforms (AWS, Azure, GCP).
    • Knowledge of MLOps practices and model lifecycle management.

    Education

    • Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.