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AI/LLM Data Engineer/Data Scientist (REMOTE & W2 ONLY)

Milestone Technologies, Inc.
Dallas, TX, United States
$90 an hour
Remote
Temporary

Artificial Intelligence / LLM Data Engineer

22 Months Contract with possible extension

REMOTE Nationwide

Overview :

We are seeking an experienced AI / LLM Data Engineer to build and maintain the data pipeline for a Generative AI platform.

The ideal candidate will be well-versed in the latest Large Language Model (LLM) technologies and have a strong background in data engineering, with a focus on Retrieval-Augmented Generation (RAG) and knowledge-base techniques.?

This role will work on highly visible strategic projects, collaborating with cross-functional teams to define requirements and deliver high-quality AI solutions.

The ideal candidate will have a passion for Generative AI and LLMs, with a proven track record of delivering innovative AI applications.

Qualifications :

  • Master's degree in Computer Science, Data Science, or a related field
  • 3-5 years of work experience in data engineering, preferably in AI / ML contexts
  • Proficiency in Python, JSON, HTTP, and related tools
  • Strong understanding of LLM architectures, training processes, and data requirements
  • Experience with RAG systems, knowledge base construction, and vector databases
  • Familiarity with embedding techniques, similarity search algorithms, and information retrieval concepts
  • Hands-on experience with data cleaning, tagging, and annotation processes (both manual and automated)

Compensation :

The estimated pay range for this position is USD $90.00 / hr 95.00 / hr and is an Exempt role.

Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Benefits :

We offer comprehensive benefit options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the specific role during the hiring process.

7 hours ago
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