AI/ML Engineer TS/SCI

RacknerDayton, OH
1dRemote

About The Position

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 will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Requirements

  • Strong proficiency in designing and implementing model architectures, including: Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Transformer-based architectures Large Language Models (LLMs) Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with: PyTorch and/or TensorFlow 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

Nice To Haves

  • 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

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-RCNN)
  • 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

Benefits

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Medical, dental, and vision coverage
  • 401(k) with 100% company match up to 6%
  • Paid time off (PTO)
  • Life and disability insurance
  • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1-10 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service