AI Engineer
Manassas, VA, United States
USD 170K-224K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end AI systems
- Build feature stores
- Build model registries
- Conduct robustness testing
- Configure monitoring and alerting
- Create model documentation
- Deploy AI solutions to edge devices
- Deploy AI solutions via REST APIs
- Deploy AI solutions via gRPC
- Deploy AI solutions via serverless
- Design and implement AI architectures
- Design and maintain MLOps infrastructure
- Develop and optimize machine learning models
- Ensure data privacy compliance
- Implement A/B testing frameworks
- Implement CI/CD pipelines
- Implement automated testing for models
- Implement bias detection and fairness metrics
- Implement experiment tracking
- Implement explainability tools
- Implement model versioning
- Implement rollback procedures for models
- Lead technical discussions and architectural reviews
- Maintain audit trails
- Manage distributed training environments
- Mentor junior engineers
- Monitor AI model performance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Audit trails | Autogen | Automated testing | B testing | Bias detection | CI/CD | ChromaDB | Computer Vision | CrewAI | Dashboarding | Data Privacy | Deep learning | Distributed Computing | Docker | Edge Computing | Embeddings | Experiment tracking | Explainable AI | Fairness metrics | Faiss | Feature Store | GRPC | Generative AI | Git | Hugging Face | Knowledge Distillation | Kubeflow | Kubernetes | Langchain | Langgraph | Llamaindex | MLOps | MLflow | Machine Learning | Model Documentation | Model Optimization | Model Registry | Model versioning | Monitoring | NLP | Neural Networks | OpenAI API | Pandas | Pinecone | Pruning | Python | Quantization | RAG | REST APIs | Reinforcement Learning | Robustness Testing | Serverless | Similarity Search | Vector similarity | Vector similarity search | Weaviate
Education
Roles
AI | AI Engineer | Engineer
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