Data Scientist – NLP & Gen AI

Datamaxis • Baltimore, MD

11h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees