AI/ML Engineer (Active TS/SCI )

Key Responsibilities

• 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.
• 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 TensorFlow.
• Experience with Hugging Face, Ollama, or similar frameworks.
• Knowledge of data engineering concepts: Feature engineering, dataset preparation, and data versioning tools (e.g., lakeFS).
• 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 DevSecOps practices and MLOps principles.
• Experience working with large-scale or federal datasets.

Pay & Benefits

• Compensation: Weekly pay with full remote flexibility options.
• Benefits: Comprehensive medical, dental, and vision coverage.
• Retail: 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.