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$110k–$185k/yr
Other
bachelor degree, postgraduate degree
Posted 1d ago
Apply by Aug 11
~40 hrs/week
Responsibilities
The ML Ops Engineer will build, train, and deploy machine learning models while operationalizing generative AI systems through scalable pipelines. They will collaborate with Army stakeholders to identify strategic integration opportunities and provide innovative technical solutions.
Requirements
Candidates must have a bachelor's degree in a relevant field and at least 3 years of experience in machine learning engineering and MLOps. An active Secret Clearance is required, along with proficiency in Python, containerization, and data manipulation tools.
Full 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 as Scikit-Learn, TensorFlow, or similar tools.
Research, develop, and implement generative AI applications, ensuring that models address complex real-world challenges effectively.
Deploy machine learning models to web-based applications and integrate them into operational environments.
Operationalize generative AI systems by developing robust, scalable pipelines for deployment across multiple environments.
Design and implement advanced data manipulation and pipelining workflows using tools such as Pandas and PySpark to 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 in Computer 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 in data manipulation & pipelining technologies, such as Pandas or PySpark.
Hands-on experience developing machine learning models using tools such as Scikit-Learn, MLlib, TensorFlow, PyTorch, etc.
Practical experience in deploying AI/ML models in production web-based applications.
Advanced proficiency with Python and Python-based web frameworks (e.g., Flask, Django, FastAPI, etc.).
Strong understanding and hands-on experience with containerization technologies, such as Docker and Kubernetes.
Familiarity with Agile or Scrum methodologies, CI/CD practices, and version 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 using MLOps 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.
#LI-SH1
Target salary range: $110,075 - $185,138
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Technology and innovation power mission ahead of need.
Industry
Software Development
Company size
1,001-5,000 employees
Founded
1961
Headquarters
Tysons, VA
LinkedIn followers
44,033
Total funding
$250K
LMI is a new breed of digital solutions provider, disrupting the traditional govcon model with commercial-grade technology that is ready day-one. Driven by mission impact and backed by hard-earned customer trust, we help federal agencies move faster and smarter—delivering where it matters most. Experience and innovation fuel the what; expertise and precision drive the how.
Our commitment to our customers means staying ahead of the curve—and their mission needs. Leveraging cutting-edge platforms, mission-ready AI, and iterative collaboration, we deliver real results and meaningful transformation for the U.S. government. The outcome: agencies that are more agile, more responsive, and always ready for what’s next.
Offices: 7940 Jones Branch Drive, Tysons, VA 22102, US · 4910 Corporate Dr, Suite B, Huntsville, Alabama 35805, US · 703 Seibert Rd, Suite 1, Scott AFB, Illinois 62225, US · 2424 Garden of the Gods Rd, Building F, Suite 490, Colorado Springs, Colorado 80919, US · 6361 Walker Ln, Suites C130, 200, 210, Alexandria, Virginia 22310, US
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Based on 242 listings with disclosed salaries, most software jobs in Pittsburgh, PA pay between $71k–$200k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Pittsburgh, PA right now?
There are currently 522 open software positions in Pittsburgh, PA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Pittsburgh, PA?
Companies currently hiring include PNC, Carnegie Mellon University - School of Computer Science - Language Technologies Institute, BNY, Net Health, Software Engineering Institute | Carnegie Mellon University, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Pittsburgh, PA?
Yes — 242 of the 522 open software positions offer remote or hybrid work (102 remote, 140 hybrid).
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