CASY-MSCCN Jobs

Overview

We are seeking a skilled and motivated Data Scientist/Engineer to join our dynamic team, focusing on the development and deployment of cutting-edge NLP solutions using large language models (LLMs).

As a Data Scientist/Engineer, you will play a crucial role in building, refining, and deploying NLP solutions. Your work will involve extensive interaction with LLMs, extracting insights from unstructured data, and integrating robust ETL pipelines to streamline data processing.

Essential Job Duties

• Design and implement NLP solutions using LLMs, including cleaning and processing data.

• Develop, test, and maintain ETL pipelines using tools such as Apache NiFi and Airflow to ensure efficient data manipulation and integration.

• Deploy models and pipelines into production environments, ensuring scalability and stability.

• Work with Retrieval-Augmented Generation (RAG) systems, understanding their integration with LLMs and supporting technologies such as vector databases and advanced query building.

• Contribute to the development of knowledge extraction methods and the creation of knowledge graphs to enhance data comprehension and decision-making processes.

• Continuously learn and evaluate new technologies in the fields of NLP, LLMs, and AI to improve existing systems and workflows.

Minimum Requirements

• Experience in building and deploying NLP solutions using LLMs.

• Experience working as a data science-oriented software developer with a proven ability to deploy models into working production solutions.

• Some experience fine-tuning models across various use-cases.

• An understanding of ETL tools like Apache NiFi or Airflow.

• Familiarity with RAG systems, vector databases, and related technologies.

• Some experience with knowledge extraction techniques and knowledge graphs is preferred.

Preferred Qualifications

• Government Security Clearance

Work Environment

Exovera offers a competitive salary and benefits package, as well as a dynamic and fast-paced work environment. If you are passionate about data engineering and want to be part of a team that is driving innovation and growth, we want to hear from you.

• Full remote flexibility