AI/Machine Learning Engineer SME
Washington, D.C., United States
USD 200K-350K Senior-level Full Time
Tasks
- Architect enterprise AI ML solutions
- Build model training pipelines
- Conduct technical reviews and mentor engineers
- Define technical roadmaps
- Deploy inference services
- Design feature stores
- Develop MLOps frameworks
- Develop solution briefs and architecture diagrams
- Drive DevSecOps practices
- Enforce engineering artifacts standards
- Ensure security compliance and accreditation
- Establish ML engineering best practices
- Evaluate and adopt advanced ML tools
- Implement data ingestion pipelines
- Implement test automation
- Integrate AI capabilities into cloud native architectures
- Interface with government stakeholders on architecture
- Lead multi-disciplinary engineering teams
- Oversee sprint planning and execution
- Perform architecture trade studies
- Support Responsible AI governance
Perks/Benefits
- 401k match
- Company culture
- Generous PTO
- Health and wellness incentives
- Insurance coverage
- Job security
- Professional growth
- Tuition and certification reimbursement
Skills/Tech-stack
Anomaly Detection | CI/CD | Computer Vision | Containerization | Data Ingestion | Deep learning | DevSecOps | Distributed Systems | Distributed Training | Docker | Feature Store | Generative AI | Inference | JAX | Kubernetes | MLOps | Machine Learning | Model Training | NLP | PyTorch | Python | TensorFlow
Education
Regions
Countries
States
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