AI/ML Engineer; TS/SCI
Remote / Online - Candidates ideally in
Dayton, Montgomery County, Ohio, 45444, USA
Listed on 2026-05-28
Dayton, Montgomery County, Ohio, 45444, USA
Listing for:
ChatGPT Jobs
Full Time, Remote/Work from Home
position Listed on 2026-05-28
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Job Description & How to Apply Below
- Design, develop, and implement machine learning and deep learning models including CNNs, RNNs, and Transformer-based architectures.
- Build and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN).
- Perform feature engineering and prepare high-quality datasets.
- Create and maintain AI/ML training runbooks and documentation.
- Collaborate with cross-functional teams to integrate models into production systems.
- Ensure reproducibility via data versioning and metadata standards.
- Evaluate and improve model performance and scalability.
Job Description
AI/ML Engineer Job Details
Job Information: AI/ML Engineer
Company
Rackner
Job Details
- Job Title:
AI/ML Engineer - Location:
Dayton, OH and Remote - Work Type:
Full-Time, On-site / Remote - Clearance Required:
TS/SCI
- Design, develop, and implement machine learning and deep learning models including CNNs, RNNs, and Transformer-based architectures.
- Build and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN).
- Perform feature engineering and prepare high-quality datasets.
- Create and maintain AI/ML training runbooks and documentation.
- Collaborate with cross-functional teams to integrate models into production systems.
- Ensure reproducibility via data versioning and metadata standards.
- Evaluate and improve model performance and scalability.
Required Qualifications
- Proficiency in model architectures: CNNs, RNNs, Transformers, LLMs, and Object Detection models (e.g., YOLO, Faster R-CNN).
- Hands-on experience with PyTorch and/or Tensor Flow.
- Experience with Hugging Face, Ollama, or similar frameworks.
- Knowledge of data engineering concepts:
Feature engineering, dataset preparation, and data versioning tools (e.g., lake
FS). - Familiarity with metadata standards such as STAC.
- Ability to create clear AI/ML training runbooks.
- Strong problem-solving skills and collaborative mindset.
Preferred Qualifications
- Experience deploying models in cloud-native environments.
- Familiarity with Dev Sec Ops practices and MLOps principles.
- Experience working with large-scale or federal datasets.
- Compensation:
Weekly pay with full remote flexibility options. - Benefits:
Comprehensive medical, dental, and vision coverage. - Retirement: 401(k) with 100% company match up to 6%.
- Time Off:
Paid time off (PTO). - Other:
Life and disability insurance, home office equipment plan. - Development:
Paid certifications and training.
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