NLP Senior Data Scientist / Engineer Blue Space Healthcare - 4.5 Woodlawn, MD Job Details Contract $60 - $65 an hour 16 hours ago Qualifications AI models Data preprocessing Data visualization software proficiency Text mining tools Testing and evaluation Generative models Application deployment AI platforms (beyond public GPTs) Prompt engineering Application development SQL Pandas Jupyter Machine learning cloud services Machine intelligence Bachelor's degree Model deployment Jupyter Notebook Developing large-scale AI models NLTK Implementing APIs Text classification Model training System deployment Machine learning libraries Model evaluation Machine learning frameworks Data visualization projects Project stakeholder communication spaCy Full Job Description NLP Senior Data Scientist /
Engineer Location:
Woodlawn, MD | Onsite 5 days/week || W2
Only Interview:
In-person interview required
Key Requirements:
Ability to obtain and maintain an SSA Public Trust Suitability clearance Master's degree + 5 years, Bachelor's degree + 7 years, or equivalent relevant experience Strong experience with Python, SQL, Pandas, NLTK, and spaCy Strong knowledge of Natural Language Processing and machine learning techniques Experience developing NLP pipelines for text processing, classification, extraction, and analysis Experience with large language models and Generative AI Strong understanding of Retrieval-Augmented Generation (RAG) architectures Experience with prompt engineering, embeddings, vector search, and document retrieval Experience developing, testing, and deploying AI/ML solutions Experience working with structured and unstructured data Strong data analysis, data preprocessing, and model evaluation skills Experience with cloud platforms and AI/ML services Strong Python-based application and API development experience Experience with Jupyter notebooks, data visualization, and model experimentation Strong communication and ability to explain technical concepts to non-technical stakeholders
Preferred Experience:
Experience with federal government or public-sector projects Experience with Azure Open
AI, AWS AI/ML
services, or similar platforms Experience with RAG implementation, document chunking, embeddings, and vector databases Experience with responsible AI, data privacy, and security Experience with production deployment, monitoring, and model performance optimization