Generative AI & MLOps Engineer — Secret Clearance

LMI Government Consulting; United States; Remote; USD 110,075 - 185,138; Full time

Job summary

LMI Government Consulting is seeking a Machine Learning Operations Engineer (ML Ops Engineer) based in the United States. The role focuses on developing and deploying machine learning solutions, collaborating closely with the Army’s AI2C organization to create generative AI tools that enhance operational capabilities.

The ideal candidate has extensive experience in machine learning engineering, particularly in MLOps, and must possess strong skills in Python and data manipulation tools.

This position offers a target salary range of $110,075 - $185,138.

Qualifications

• 3+ years of experience in machine learning engineering with emphasis on MLOps and deployment.
• Hands-on experience developing machine learning models using Scikit-Learn, TensorFlow, etc.
• Active Secret Clearance required.

Responsibilities

• Build, train, validate, and evaluate machine learning models.
• Deploy machine learning models to web-based applications.
• Collaborate with Army stakeholders for ML integration.

Skills

Machine learning engineering

MLOps

Data manipulation

Problem solving

Python

Containerization (Docker, Kubernetes)

Education

Bachelor's degree in Computer Science, Data Science, or related field

Master's degree (preferred)

Tools

Scikit-Learn

TensorFlow

Pandas

PySpark

Docker

Kubernetes

Job description

LMI Government Consulting is seeking a Machine Learning Operations Engineer (ML Ops Engineer) based in the United States. The role focuses on developing and deploying machine learning solutions, collaborating closely with the Army’s AI2C organization to create generative AI tools that enhance operational capabilities.

The ideal candidate has extensive experience in machine learning engineering, particularly in MLOps, and must possess strong skills in Python and data manipulation tools.

This position offers a target salary range of $110,075 - $185,138.