Security-Cleared AI/ML Engineer for Modern Data Platform

SMX

Dover (DE)

On-site

USD 115,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement plan

Job summary

SMX is seeking an AI/ML Engineer to bridge business needs and technical solutions for a Federal customer. Responsibilities include building AI Agents, researching Databricks/Palantir, prompting LLMs, and developing chatbots. Strong DoD clearance and CS degree required with hands-on ML experience.

The role emphasizes cross-functional collaboration, agile delivery, and secure, production-grade AI integration into DevOps pipelines. Exceptional problem-solving and independence are valued.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 6 years of related work experience.
  • Experience training AI models and integrating AI into DevOps pipelines.
  • Experience developing AI chatbots and agents using OpenAI LLMs.
  • Familiarity with databases and software development in agile teams.

Responsibilities

  • Design and develop new AI Agents to expedite capability development meeting business requirements.
  • Research AI capabilities within Databricks and Palantir to standardize usage for developers.
  • Prompt Engineer LLMs for faster analysis and coding.
  • Develop chatbots to support developer and customer interactions.
  • Train ML models on historical data to predict outcomes and identify anomalies.

Skills

DoD clearance
Bachelor's degree in CS
6 years experience
AI model development
OpenAI LLMs integration
DevOps & pipelines
AI chatbot development
ML training on production data
Agile development
Database design

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
Palantir
OpenAI LLMs

Job description

SMX is seeking an AI/ML Engineer to bridge business needs and technical solutions for a Federal customer. Responsibilities include building AI Agents, researching Databricks/Palantir, prompting LLMs, and developing chatbots. Strong DoD clearance and CS degree required with hands-on ML experience.

The role emphasizes cross-functional collaboration, agile delivery, and secure, production-grade AI integration into DevOps pipelines. Exceptional problem-solving and independence are valued.

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