Artificial Intelligence/Machine Learning (AI/ML) Engineer
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Obviant
AI/ML Engineer at Obviant, a defense-focused data startup building a data source of truth and AI tools to transform defense acquisition. You will develop production-grade ML models and end-to-end ML pipelines, applying NLP, knowledge graphs, taxonomy extraction, and entity resolution on large-scale, multi-source data, to empower decision-making in government and defense contexts.
Qualification
- 5+ years of experience building and deploying ML models in production.
- Strong background in machine learning and deep learning methodologies.
- Demonstrated experience in applied research and development.
- Proven track record 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.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Ability to thrive in a fast-growing startup environment.
- Government, govtech, or defense experience welcomed but not required.
Responsibility
- Design and implement models for taxonomy extraction/generation, entity resolution, and pattern recognition in defense data.
- Develop robust multi-class classification systems for various document types and tasks.
- Build knowledge graph construction and analysis pipelines to represent and query relationships in mission data.
- Solve NLP and semantic understanding problems, including topic modeling and semantic retrieval.
- Tackle document clustering, classification, and summarization to enable rapid decision-making.
- Build and optimize scalable data pipelines processing mission-critical information at scale.
- Collaborate with data engineers and domain experts to translate complex requirements into production-ready solutions.
- Lead experimentation, evaluation, deployment, and monitoring of ML models in production.
