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Data Scientist

DATAMAXIS

Baltimore · On-site Full-time Yesterday

About the role

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.

Skills

AWSAzureBERTGCPGenerative AIGPTHugging Face TransformersLLMNLTKNLPNumPyPandasPyTorchPythonScikit-learnSpaCyTensorFlowTransformers

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