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# Sr. Machine Learning Engineer (US Security Clearance)

- **Company:** WebAI, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Profiling, Nvidia CUDA, Databases, Distributed Systems, General-Purpose Computing on Graphics Processing Units, Machine Learning, Tensorflow, Model Compression, Systems Integration, Pinecone, Pytorch, Retrieval-Augmented Generation, Transfer Learning, On-device Inference, Generative AI, Discretization, HuggingFace, Milvus, Machine Learning Operations, FAISS, ChromaDB, Microservices, Data Generation
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_09ee504abe3590b2830e8a9fa19f4fc5

## About the Role

* Active US Security clearance
 * 4+ years of experience in applied AI, ML engineering, or production AI systems.
 * Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
 * Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
 * Expertise in model compression and optimization (quantization, pruning, distillation).
 * Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone).
 * Familiarity with multi-modal models and synthetic data generation methods.
 * Strong algorithmic and problem-solving skills, especially in distributed or constrained compute environments.

Preferred Skills

 * Experience with edge AI, federated learning, or offline inference systems.
 * Understanding of AI governance and compliance frameworks relevant to public sector deployments.
 * Experience integrating models into large-scale distributed systems or microservice architectures.
 * Excellent communication and technical documentation skills for collaboration across multidisciplinary teams.
 * Strong understanding of GPU computing, CUDA, and performance profiling.

Core Values

 * Truth - Emphasizing transparency and honesty in every interaction and decision.
 * Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
 * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
 * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

## Description

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production-ready AI systems for secure and distributed environments.

You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments., * Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.

 * Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
 * Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization.
 * Implement model optimization techniques such as quantization, pruning, distillation, and hardware-specific acceleration.
 * Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
 * Work with multi-modal AI systems across computer vision, audio, and natural language domains.
 * Optimize model execution for distributed and resource-constrained environments, ensuring reliability under variable connectivity conditions.