Data Science/Machine Learning Engineer (Remote, Continental United States)
Location
Virginia
Posted
28 days ago
Salary
Not specified
Job Description
Job Requirements
- 5+ years of overall professional experience in data science, analytics, or a related field.
- At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering).
- Education:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
- Technical Proficiency:
- Coding knowledge and experience with Python
- Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development.
- Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks
- Familiarity with LLM evaluation, interpretability, and best practices.
- Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.).
- Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development.
- NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing)
- Preferred:
- exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.
- experience with Document Processing
- Ability to obtain a Public Trust Clearance
- USE OF AI ASSITIVE TECHNOLOGY
- All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
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