Rackner
AI/ML Engineer (Active TS/SCI )
Dayton, OH · Full-time
No sponsorshipDetected 4 days ago
TypeScriptMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPComputer VisionLLMsMLOpsDetection EngineeringCollaborationProblem Solving
About the role
- Ensure reproducibility through data versioning and metadata standards
- Continuously evaluate and improve model performance and scalability
- Object Detection models (e.g., YOLO, Faster R-CNN)
Responsibilities
- 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
Requirements
- Strong proficiency in designing and implementing model architectures, including:
- Hands-on experience with:
Nice to have
- 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 growth investment, including paid certifications and training
- 401(k) with 100% company match up to 6%
- A supportive, inclusive team culture focused on collaboration, trust, and mission impact
Benefits
- Comprehensive benefits package, including:
- Medical, dental, and vision coverage
- Paid time off (PTO)
- Life and disability insurance
- Home office equipment plan
- Design, develop, and implement machine learning and deep learning models
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This listing is sourced directly from Rackner's careers page and normalized into a canonical job model.