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Mlops Jobs in Springfield, OH (NOW HIRING)

Deloitte

AI Security Engineer Manager

Dayton, OH · On-site

Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines * Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security ...

Parallax

Senior Software Engineer

Beavercreek, OH

$113K - $149K/yr

Feature engineering, model training, hyperparameter tuning, MLOps pipelines • Architecture and Orchestration Frameworks: RAG (Retrieval-Augmented Generation) and Agentic workflows; LangGraph ...

Booz Allen Hamilton

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation * Secret clearance * Bachelor's degree in Mathematics, Computer Science ...

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation * Secret clearance * Bachelor's degree in Mathematics, Computer Science ...

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Mlops information

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.

What are the key skills and qualifications needed to thrive as an MLOps engineer?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

Is MLOps outdated?

MLOps is an evolving field focused on deploying and managing machine learning models efficiently. It remains highly relevant as organizations increasingly adopt AI solutions, with skills in automation, cloud platforms, and monitoring tools in demand. Staying current with new tools and best practices is essential for MLOps professionals.

What is the average salary in MLOps?

The average salary for MLOps engineers typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning deployment tend to earn higher salaries.

What cities near Springfield, OH are hiring for Mlops jobs?

Cities near Springfield, OH with the most Mlops job openings:

Mlops jobs near you
Infographic showing various Mlops job openings in Springfield, OH as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Principal AI Software Engineer (AHT)

Northrop Grumman Corporation

Beavercreek, OH • On-site

$125K - $187K/yr

Full-time

Medical, Life, PTO

Posted 22 days ago

Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers

Job description

RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: No
CLEARANCE TYPE: Top Secret
TRAVEL: Yes, 10% of the TimeDescription
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
The Northrop Grumman C2 & Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking a Principal AI Software Engineer. This role supports research and development in areas including Large Language Models (LLMs), natural language processing (NLP), natural language understanding (NLU), natural language generation (NLG), AI-based decision-making, sensor fusion, data fusion, computer vision, and image processing, with a focus on responsible and explainable AI.
Key Responsibilities
  • Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
  • Apply machine learning algorithms to large structured and unstructured datasets for use cases such as autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, signals processing, and robotic systems.
  • Design, develop, document, test, debug, and deploy AI/ML applications.
  • Collaborate with cross-functional teams to deploy AI/ML solutions in development and production environments.
  • Prepare and present technical progress and results to internal and external stakeholders.

Basic Qualifications
  • Bachelor's degree in Computer Science or a related STEM field with 5 years of relevant experience, or master's degree in Computer Science or a related STEM field with 3 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
  • Experience implementing and/or applying one or more AI models and algorithms (for example: LLMs, deep neural networks, genetic algorithms, embedding models, deep learning architectures).
  • Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikit-learn.
  • Experience across the ML pipeline, including:
    • Working with novel or heterogeneous datasets.
    • Data processing and preparation.
    • Training and fine-tuning ML systems.
    • Modifying existing deep learning architectures and implementing models from architecture diagrams.
    • Evaluating system performance using established and custom metrics and methods.
  • Ability to perform rapid prototyping and proof-of-concept implementations.
  • General familiarity with applied machine learning concepts, including multilayer perceptrons, convolutional neural networks (CNNs), recurrent architectures such as LSTMs, transformer models, supervised and unsupervised learning methods, reinforcement learning methods, and statistical or graphical models.
  • General familiarity with computational and statistical learning theory.
  • Experience with web application development frameworks such as Flask or FastAPI.
  • Understanding of software engineering practices, including use of source control and basic software architecture concepts.
  • Ability to obtain a U.S. Government TS/SCI security clearance with CI Poly

Preferred Qualifications
  • Active TS/SCI clearance with CI Poly
  • Experience with AWS or other commercial cloud computing platforms.
  • Experience with microservice architectures and related practices, including containerization and container orchestration technologies.
  • Familiarity with explainable AI, adversarial AI, active learning, and third-wave AI approaches.
  • Familiarity with DevOps, DevSecOps, and/or MLOps concepts and workflows.
  • Familiarity with Linux-based operating systems.
  • Experience working independently to plan and execute technical tasks.
  • Hands-on experience with LLMs (e.g., prompt design/engineering, use of LLM development frameworks, fine-tuning, or model quantization).
  • Experience with modeling and simulation.
  • Experience using vector databases and/or graph databases.

#PWRTA3
Primary Level Salary Range: $125,300.00 - $187,900.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

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