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# Senior AI/ML Engineer

- **Company:** Obviant Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Programming, Graph Database, Python (Programming Language), Machine Learning, Language Modeling, Pattern Recognition, Tensorflow, Pytorch, Large Language Models, Scikit Learn, Machine Learning Operations, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=567f91e1b7a63c8c

## About the Role

Required

 * 8+ years of experience building and deploying ML models in production environments
 * Strong background in machine learning and deep learning methodologies
 * Demonstrated experience in applied research and development
 * Track record of turning complex requirements into elegant, scalable solutions
 * Experience with NLP, semantic retrieval, or large language models
 * Experience working with large-scale datasets and complex data pipelines
 * Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
 * Comfortable with the pace and impact of a fast-growing startup
 * Has led, deployed and maintained AI and ML infrastructure and products into multiple disparate environments

Nice to Have

 * National security, govtech, or defense experience is welcome but not required
 * Prior experience at a defense-focused data, analytics, or intelligence platform

## Description

At Obviant, you'll build the ML systems that turn sprawling, unstructured defense and government data into a knowledge graph our customers can actually reason over. As an AI/ML Engineer, you'll own problems end to end - designing transformer-based extraction and entity-resolution pipelines, adapting language models to a specialized domain, and helping shape the ontology that underpins the product. You'll work on a small team where your decisions show up in the product within weeks, alongside engineers and domain experts who know the mission cold. We care less about buzzword coverage than about people who can take an ambiguous, messy problem and make it rigorous and shippable., * You'll design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition


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