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GenAI Data Scientist
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GenAI Data Scientist with Public Trust Security Clearance
Location: Remote and Baltimore, MD (Future Onsite)
Duration: 9 months
- 5+ years of experience in AI/ML development with a strong focus on NLP and Generative AI, using frameworks such as TensorFlow, PyTorch, and Hugging Face.
- Mastery in Python and proficiency in libraries such as Transformers, NLTK, SpaCy, and Gensim, with experience in data manipulation using Pandas and NumPy.
- Demonstrated expertise in generative AI models (e.g., OpenAI s GPT, LLaMA) and libraries like VLLM.
- Experience in prompt engineering strategies for generative AI model enhancement.
- Familiarity with cloud platforms (AWS, Azure) and containerization (Docker), with hands-on experience deploying machine learning models using CI/CD pipelines.
- Experience with human-in-the-loop systems, integrating feedback from clinicians to refine AI models.
- Strong analytical and statistical modeling skills, with experience evaluating model performance and iterating on improvements.
- Experience working with healthcare data standards such as HL7, FHIR, ICD codes, and SNOMED.
- Familiarity with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) databases, and experience optimizing them for AI model integration.
- Ability to articulate technical challenges and solutions effectively, with strong written and verbal communication skills.
- Master s degree in Data Science, AI, Computer Science, or a related field + 10 years of experience, or PhD + 4 years.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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