Obviant is building a data source of truth and AI tools for defense acquisition to solve the problem of the defense market's data not keeping up, forcing companies, government, and investors to perform heavily manual processes and piece together hundreds of disparate sources to make decisions.
Requirements
- 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
- 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)
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
Other
- You care about government & are mission-oriented
- Perseverance and endurance
- Empowerment > micro-management
- We’re collaborative and communicate well
- Work doesn’t feel like “work” to you
