AI/ML Engineer
USA VA (Virtual Office), United States
R
USD 74K-130K Senior-level Full Time
Tasks
- Build and optimize data pipelines for NLP and entity extraction
- Collaborate to define requirements validate outputs and develop knowledge graphs
- Create tutorials and best practices for AI ML usage
- Design develop and deploy AI ML models and tools
- Develop explainability transparency and interaction dashboards
- Document model purpose training and performance in model cards
- Ensure AI ML workflows meet cybersecurity data privacy and access control requirements
- Integrate AI ML capabilities into secure cloud data architecture
- Monitor model performance and data concept drift
- Participate in Agile sprints and backlog refinement
- Support model retraining and fine-tuning
Perks/Benefits
- 401k
- Dental insurance
- Flexible work schedule
- Holidays
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Access Control | Agile | Azure | Bias detection | Containerization | Data Pipelines | Data Preprocessing | Data Privacy | Docker | Entity recognition | Feature Engineering | Knowledge graphs | Kubernetes | Langchain | Llamaindex | Model Deployment | Model Explainability | Model Monitoring | NLP | Named Entity Recognition | Ontology Based Reasoning | PyTorch | Python | REST APIs | Semantic Search | TensorFlow | Vector Databases | Vector embeddings
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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