Senior Data Science/Machine Learning Engineer
Inactive
Remote work from anywhere within the continental United StatesFull-TimeSenior
This job is no longer active. We keep the page for reference, but the employer may not accept new applications.
Salary not disclosed
Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLData AnalysisMachine LearningRNLPLLMLangChain
Requirements
- 5+ years of overall professional experience in data science, analytics, or a related field.
- 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs).
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
- Coding knowledge and experience with Python.
- Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks.
- Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis).
- Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock).
- NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing).
- Ability to obtain a Public Trust Clearance.
Responsibilities
- Collaborate with internal and external stakeholders to uncover and define data-driven opportunities.
- Mine and analyze complex datasets using statistical and machine learning approaches.
- Evaluate and implement methods for acquiring and processing large volumes of text data.
- Perform data processing using State of the Art LLM Models and technologies.
- Identify ways to enhance the organization’s data strategy with novel ML and AI methods.
- Develop presentations and demos to showcase analytical solutions to clients and management.
- Use advanced statistical and machine learning approaches to drive improvements.
- Establish processes and tools to track model performance, data accuracy, and reliability.