AI/ML Engineer, Lead
USA, VA, Ashburn (22001 Loudoun County Pkwy), United States
R
USD 128K-292K Senior-level Full Time
Tasks
- Architect scalable ML pipelines and infrastructure
- Collaborate with cross functional teams to translate business requirements into ML solutions
- Design build and deploy large language model and agentic AI solutions
- Design develop deploy machine learning models and AI systems
- Evaluate and integrate emerging AI technologies and frameworks
- Lead end to end ML lifecycle data exploration feature engineering experimentation training evaluation deployment
- Mentor engineers and promote best practices and coding standards
- Monitor and optimize deployed models for accuracy performance drift reliability and ethics
- Optimize and deploy AI ML models for edge environments for low latency inference
- Partner with data engineering to ensure high quality datasets and pipeline integrations
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | Autonomous Agents | Azure | Azure ML | CI/CD | Cloud platform | Data Pipelines | Deep learning | Distillation | Distributed Systems | Docker | Edge Computing | Feature Engineering | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Drift | Model Evaluation | Model Monitoring | Model Training | Model versioning | Multi-Agent | Multi-agent orchestration | ONNX | ONNX Runtime | OpenVINO | Prompt engineering | Pruning | Python | Quantization | RAG | Retrieval-Augmented Generation | SageMaker | Statistics | TensorFlow Lite | TensorRT | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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