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1–2 jobs· newest first

Technical Targeting AnalystNew
E-Infosol LLC · Chantilly, US
On-site · Full-time · Senior
AI EngineerNew
E-Infosol LLC · Chantilly, US
On-site · Full-time · Senior

+10K new in the last hour

Technical Targeting Analyst

E-Infosol LLC · Posted Nov 9, 2026

Chantilly, Virginia, United States
On-site
Full-time · Senior
10+ years

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The Technical Targeting Analyst serves as the principal authority for AI-enabled targeting methodologies, intelligence-driven data analysis, and the integration of advanced analytical capabilities across complex operational environments.

Responsibilities

Leverage artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify, assess, and develop actionable intelligence against high-priority threats.
Provide strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration while ensuring ethical, secure, and effective use of emerging technologies.
Lead complex analytic efforts and advise senior stakeholders.
Develop intelligence products, targeting packages, and executive-level briefings.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
Master’s degree in Intelligence, Data Science, Cybersecurity, Analytics, or related field preferred
Nice to have: Federal, defense, intelligence, or national security missions
Nice to have: Cyber threat intelligence
Nice to have: Network analysis

Skills

Advanced AI GenAI Multi-Model Engineering Named Entity Recognition (NER)Data Architecture & ETL Vector and graph databases Attribute Based Access Control (ABAC)Kubernetes TypeScript React Python FastAPI PostgreSQL Docker LanceDB lance graph Temporal.io AWS Microsoft Cisco

Benefits

Medical
Dental
Vision
Retirement Savings (401k) up to 4% match
Health Savings Account (HSA)

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AI Engineer

E-Infosol LLC · Posted Nov 9, 2026

Chantilly, Virginia, United States
On-site
Full-time · Senior
10+ years

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Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.

Responsibilities

Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit learn.
Deploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks.
Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
Optimize models for accuracy, latency, cost, and scalability across distributed environments.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
Nice to have: Experience in federal, defense, or highly regulated environments
Nice to have: Knowledge of ethical AI, governance frameworks, and secure development practices
Nice to have: Skills in large-scale optimization, GPU acceleration, or distributed training
Nice to have: Experience building APIs, microservices, and automated ML workflows

Skills

Advanced Python PyTorch TensorFlow

computer vision

reinforcement learning

agile engineering

container orchestration

hyperconverged nodes

Benefits

Medical – company subsidized premiums for employees, including family and dependent options.
Dental and Vision
Retirement Savings (401k) up to 4% match
Health Savings Account (HSA), FSA and DCFSA
Company-paid Short/Long-term disability

See full job description