Qualified Applicants Opportunities Jobs in Washington DC

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Looking for Qualified Applicants Opportunities jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Washington DC area.

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.

Modeling & Simulation (M&S) Engineer (On-Site & TS/SCI)

Company: JFL Consulting, LLC

Location: Washington DC

Posted Feb 02, 2025

JFL Consulting LLC is seeking a talented Modeling and Simulation Engineer with at least 5 years of experience to join their team supporting a CounterWeapons of Mass Destruction program. The role involves reverse engineering facilities, developing new methodologies, and creating tools for crisis operations. Required skills include knowledge of computational fluid dynamics, heat transfer, thermodynamics, and experience with Unix-based high-performance computing platforms and multiphysics simulation codes. The position offers a competitive benefits package and the opportunity to work on critical projects for the Intelligence Community and Department of Defense.

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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