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Senior Information Systems Administrator (R3077) *Top Secret Clearance required

Company: Shield AI

Location: Washington DC

Posted Feb 02, 2025

Shield AI is seeking a highly experienced Systems Administrator with 35 years of experience to join their Classified IT Team. The ideal candidate will have a strong desire to learn, exceptional troubleshooting skills, and a commitment to upholding high standards. The role involves maintaining classified and CUI information systems, providing technical support, problem resolution, escalation, documentation, onsite support, imaging and deployment, training and development, and participating in new system planning. Required qualifications include extensive experience in system administration, customer support skills, technical skills in Windows Server, Ubuntu, and cloud environments, A+ and Security+ certifications, and a DOD Top Secret security clearance. Preferred qualifications include advanced technical expertise, scripting and automation skills, and cross-platform experience.

Frequently Asked Questions

What are the typical salary ranges for Learn More About This roles at different seniority levels?
Entry‑level positions start around $90,000–$120,000. Mid‑level roles range $120,000–$160,000. Senior experts earn $160,000–$220,000, while Lead or Principal positions can reach $220,000–$300,000.
Which technical skills and certifications are most valued for Learn More About This positions?
Proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers is essential. Cloud AI expertise with AWS SageMaker, GCP Vertex AI, or Azure Machine Learning is highly sought. Certifications such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, and Microsoft Certified: Azure AI Engineer Associate give a competitive edge.
Can I work remotely in Learn More About This roles?
Yes—over 70% of listings offer fully remote or hybrid arrangements, especially for research and engineering positions. Many employers provide flexible schedules and advanced collaboration tools to support distributed teams.
What career progression paths exist for Learn More About This professionals?
Typical trajectories move from Junior ML Engineer → Senior ML Engineer → Lead Data Scientist → Principal AI Researcher → VP of AI. Each step involves deeper research responsibilities, larger project ownership, and strategic influence over product direction.
What are the current industry trends shaping Learn More About This?
Key trends include reinforcement learning for autonomous decision systems, large‑language‑model scaling, edge AI deployment, federated learning for privacy, and a growing focus on AI ethics and explainability. Companies are investing heavily in LLM‑based APIs and real‑time inference on edge devices.

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