Senior AI Engineer
Tasks
- Collaborate with cyber and infrastructure teams
- Deploy AI models to edge and cloud
- Design AI systems end to end
- Develop production AI pipelines
- Ensure secure model deployment and adversarial robustness
- Implement MLOps pipelines for training and deployment
- Integrate AI into cybersecurity workflows
- Mentor engineers and provide technical oversight
- Monitor model performance and lifecycle
- Prototype AI solutions and transition to production
Perks/Benefits
- 401k match
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Training/education reimbursement
Skills/Tech-stack
AWS | Adversarial Machine Learning | Ansible | Azure | Confidential Computing | Cybersecurity | DevSecOps | Docker | Generative AI | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Python | Secure Enclaves | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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