AI/ML Engineer
USA VA (Virtual Office), United States
R
USD 74K-130K Senior-level Full Time
Tasks
- Build optimize data pipelines for chunking named entity extraction vector embeddings relationship extraction
- Collaborate with stakeholders to define requirements validate outputs and build knowledge graphs
- Create tutorials and best practices for AI ML usage
- Design develop deploy AI ML models and tools
- Develop and maintain model cards
- Develop tools and dashboards for model explainability and transparency
- Ensure AI ML workflows comply with cybersecurity data privacy and access control requirements
- Integrate AI ML capabilities into secure cloud architecture via RESTful APIs
- Monitor model performance data drift and concept drift
- Participate in Agile sprints backlog refinement and component documentation
- Support model retraining and fine-tuning
Perks/Benefits
- 401k
- Dental insurance
- Employee stock ownership plan (ESOP)
- Flexible work schedules
- Holidays
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Agile | Azure | Data Pipelines | Data Preprocessing | Docker | Entity recognition | Feature Engineering | Knowledge graphs | Kubernetes | Langchain | Language Processing | Llamaindex | Machine Learning | Model Deployment | Model Explainability | NLP | Named Entity Recognition | Natural Language | Natural Language Processing | Ontology | PyTorch | Python | RESTful API | Semantic Search | TensorFlow | Vector Databases | Vector embeddings
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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