Obviant · 1 month ago
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Obviant is a company focused on building a data source of truth and AI tools for defense acquisition. The AI/ML Engineer will pioneer machine learning solutions that transform how the defense sector processes complex data, developing and deploying production-grade ML models while collaborating closely with data engineers and domain experts.
Information TechnologyInternet
Responsibilities
You’ll design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition
Develop multi-class classification systems
Knowledge graph construction and analysis
Work on Natural Language Processing and semantic understanding problems such as topic modeling
Tackle document clustering, classification, and summarization problems
Build and optimize robust data pipelines that process mission-critical information at scale
Qualification
Required
5+ 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
Preferred
Government, govtech, or defense experience is welcome but not required
Benefits
Flexible schedule
Competitive compensation + Sizeable equity
Flexible vacation time
Full health, dental, and vision insurance
And more…
Company
Obviant
Obviant is a data intelligence platform to simplify defense acquisition & GTM.
Funding
Current Stage
Early StageTotal Funding
$7.16MKey Investors
Shield Capital
2025-07-02Debt Financing
2025-06-24Seed· $7.16M
Recent News
Washington Technology
2025-12-06
2025-06-26
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