Skip to main content
Loading
loadingbar
Loading, Please wait..!!

AI/ML Engineer (Active TS/SCI )

  • Job type Posted on: Jul 19, 2026
  • Experience level Rackner
  • Employment type Dayton, Ohio
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for AI/ML Engineer (Active TS/SCI ) roles in Ohio.

View Salary Guide →

Job Title :

AI/ML Engineer (Active TS/SCI )

Job Type :

Full-time

Job Location :

Dayton Ohio United States

Remote :

No

Jobcon Logo Job Description :

Overview Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role focuses on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions. Responsibilities Design, develop, and implement machine learning and deep learning models Build and optimize model architectures including CNNs, RNNs, and transformer-based models Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN) Perform feature engineering and prepare high-quality datasets for training and evaluation Create and maintain AI/ML training runbooks and documentation Collaborate with data engineers and software teams to integrate models into production systems Ensure reproducibility through data versioning and metadata standards Continuously evaluate and improve model performance and scalability Required Qualifications Strong proficiency in designing and implementing model architectures, including transformer-based architectures Hands-on experience with PyTorch and/or TensorFlow Experience with Hugging Face, Ollama, or similar frameworks Experience with data engineering concepts, including feature engineering and dataset preparation Data versioning tools (e.g., lakeFS) Metadata standards such as STAC Ability to create clear and effective AI/ML training runbooks Strong problem-solving skills and ability to work in a collaborative environment Preferred Qualifications Experience deploying models in cloud-native environments Familiarity with DevSecOps practices Experience working with large-scale or federal datasets Understanding of MLOps principles and pipelines Professional development benefits including paid certifications and training Medical, dental, and vision coverage 401(k) with company match up to 6% Paid time off (PTO) Life and disability insurance Home office equipment plan A collaborative, inclusive team culture focused on mission impact About Rackner Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector. We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation. Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success. Equal Employment Opportunity Rackner is an equal opportunity employer. We do not discriminate on the basis of any protected status under applicable law. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 19, 2026

Reference Number:

14660_6EEE7443E301F95B2252F7CC0E727537

Employment:

Full-time

Salary:

Not Available

City:

Dayton

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

AI/ML Engineer (Active TS/SCI )    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Overview Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role focuses on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions. Responsibilities Design, develop, and implement machine learning and deep learning models Build and optimize model architectures including CNNs, RNNs, and transformer-based models Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN) Perform feature engineering and prepare high-quality datasets for training and evaluation Create and maintain AI/ML training runbooks and documentation Collaborate with data engineers and software teams to integrate models into production systems Ensure reproducibility through data versioning and metadata standards Continuously evaluate and improve model performance and scalability Required Qualifications Strong proficiency in designing and implementing model architectures, including transformer-based architectures Hands-on experience with PyTorch and/or TensorFlow Experience with Hugging Face, Ollama, or similar frameworks Experience with data engineering concepts, including feature engineering and dataset preparation Data versioning tools (e.g., lakeFS) Metadata standards such as STAC Ability to create clear and effective AI/ML training runbooks Strong problem-solving skills and ability to work in a collaborative environment Preferred Qualifications Experience deploying models in cloud-native environments Familiarity with DevSecOps practices Experience working with large-scale or federal datasets Understanding of MLOps principles and pipelines Professional development benefits including paid certifications and training Medical, dental, and vision coverage 401(k) with company match up to 6% Paid time off (PTO) Life and disability insurance Home office equipment plan A collaborative, inclusive team culture focused on mission impact About Rackner Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector. We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation. Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success. Equal Employment Opportunity Rackner is an equal opportunity employer. We do not discriminate on the basis of any protected status under applicable law. #J-18808-Ljbffr

Loading
Please wait..!!