ML Ops Engineer - Clearance Required

LMI Government Consulting; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 110,000 - 185,000; Full time

Job summary

LMI Government Consulting is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support Army AI/ML solutions. This role focuses on integrating ML workflows into scalable, secure applications and managing end-to-end lifecycle of AI capabilities.

The position involves collaboration with Army stakeholders, building robust ML pipelines, deploying models in production, and ensuring agile, scalable DevSecOps practices across cloud environments.

Qualifications

• Bachelor’s degree in CS, DS, or SE.
• 3+ years of ML engineering with emphasis on MLOps, model development and deployment.
• Hands-on with Pandas, PySpark for data manipulation and pipelines.
• Experience deploying AI/ML models in production web apps.
• Strong Python skills and Python web frameworks (Flask, Django, FastAPI).
• Experience with Docker, Kubernetes, CI/CD, and Git.

Responsibilities

• Build, train, validate, and evaluate ML models using Scikit-Learn, TensorFlow, or similar.
• Develop and deploy generative AI applications addressing real-world challenges.
• Deploy ML models to web-based applications and integrate into operational environments.
• Operationalize AI systems with scalable pipelines across environments.
• Collaborate with Army stakeholders to identify ML integration opportunities.

Skills

MLOps

Python

Docker

Kubernetes

CI/CD

Cloud deployments

Education

Bachelor’s degree in Computer Science, Data Science, or Software Engineering

Master’s degree (preferred)

Tools

Scikit-Learn

TensorFlow

PyTorch

MLflow

Kubeflow

Job description

Overview

LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the development of cutting-edge AI/ML solutions in collaboration with the Army’s AI2C organization. This role emphasizes integrating machine learning workflows into scalable, efficient applications while addressing operational needs for the United States Army. The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI capabilities.

This position provides an exciting opportunity to collaborate directly with the Army to design cutting-edge generative AI tools and machine learning systems to empower their operations and decision-making. Candidates should thrive in a fast-paced, collaborative environment and demonstrate technical creativity, continuous learning, and problem-solving expertise.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Responsibilities:

• Build, train, validate, and evaluate machine learning models using technologies such asScikit-Learn,TensorFlow, or similar tools.
• Research, develop, and implementgenerative AI applications, ensuring that models address complex real-world challenges effectively.
• Deploy machine learning models toweb-based applicationsand integrate them into operational environments.
  • Operationalize generative AI systems by developing robust, scalable pipelines for deployment across multiple environments.
  • Design and implement advanceddata manipulation and pipeliningworkflows using tools such asPandasandPySparkto support model training and analysis.
  • Support CI/CD pipelines tailored for ML model development and deployment.
  • Work alongside other engineering and DevSecOps teams to support scalable cloud-based deployments.
  • Collaborate directly with Army stakeholders to identify strategic opportunities for ML integration, addressing challenges and providing innovative technical solutions.
  • Assist product leads in translating operational needs and feedback into actionable technical requirements and strategies.
  • Mentor junior team members, guiding their ML and MLOps skill development while contributing to process improvements.
  • Lead discussions on architecture, system design, technology adoption, and team development to strengthen LMI’s ML capabilities.
  • Build and maintain strong relationships with government customers and stakeholders through hybrid on-site engagement.
  • Contribute to technical narratives for proposals, white papers, and strategic documentation for expanding AI/ML and ML Ops projects within Army domains.

Percentage of Travel Required: 10%

Qualifications

Minimum Qualifications:

• Bachelor’s degree inComputer Science,Data Science,Software Engineering, or a related field.
• 3+ years of experience in machine learning engineering, with particular emphasis on MLOps, model development, and deployment.
• Demonstrated expertise indata manipulation & pipelining technologies, such asPandasorPySpark.
• Hands-on experience developing machine learning models using tools such asScikit-Learn,MLlib,TensorFlow,PyTorch, etc.
• Practical experience in deploying AI/ML models in productionweb-based applications.
• Advanced proficiency withPythonandPython-based web frameworks(e.g.,Flask,Django,FastAPI, etc.).
• Strong understanding and hands-on experience withcontainerization technologies, such asDockerandKubernetes.
• Familiarity withAgile or Scrum methodologies,CI/CD practices, andversion control systems(e.g., Git).
• Comfort operating in ambiguous and dynamic environments requiring proactive problem-solving.
• Active Secret Clearance required

Additional Preferred Qualifications:

• Master’s degree in Computer Science, Software Engineering, Information Systems, or related field.
• 7+ years of directly related experience.
• Proven track record usingMLOps workflows(e.g.,MLFlow,Kubeflow), including monitoring, orchestrating, and scaling production models.
• Hands-on deployment experience across multiple environments and platforms
• Experience integrating machine learning and analytical tools
• Background working in strategic planning or consultant environments supporting government or DoD clients
• Proven track record of expanding technical scope or footprint with government customers
• Knowledge of the Army software development process and its technologies.

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Target salary range: $110,075 - $185,138

Disclaimer:

The salary range displayedrepresentsthe typical salary range for this position and is not a guarantee of compensation. Individual salaries aredeterminedbyvarious factorsincluding, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Job Locations

US-Remote US-PA-Pittsburgh