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Intel Analyst Jobs in Georgia (NOW HIRING)

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

CTN - Cryptologic Technician (Networks)CTI / CTR (with analytics focus)Information Warfare Officers (1810) US Marine Corps: 1721 - Cyberspace Warfare Operator26XX Intel (with data/automation focus ...

Donan

Forensic Engineer Contractor

Atlanta, GA · On-site

Welcome to Donan Engineering (Powered by Alpine Intel), a leader in the property insurance ... Two plus years of experience in failure analysis, and knowledge of residential and construction ...

Donan

Forensic Engineer Contractor

Atlanta, GA · On-site

Welcome to Donan Engineering (Powered by Alpine Intel), a leader in the property insurance ... Two plus years of experience in failure analysis, and knowledge of residential and construction ...

Cypress HCM

Senior System Validation Engineer

Johns Creek, GA · Hybrid

$96K - $132K/yr

Automate lab workflows: develop scripts for lab equipment control and data analysis. * Support ... Hands-on experience with x86 computer/server platforms (Intel/AMD). * Skilled with lab test and ...

Sysco

$107K - $160K/yr

Leverages advanced analytics insights to prioritize opportunities and develop local new business regional strategy * Local New Business Developer will also be responsible for prioritizing intel ...

U.S. Navy

Navy Intelligence Officer - AL & GA

Macon, GA · On-site

... analysis and combat mission planning. From there, Intel Officers embark on a 30-month operational fleet tour. This is typically an assignment with an aviation squadron, with an air wing staff or ...

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Intel Analyst information

See Georgia salary details

$18.2K

$69.6K

$126.7K

How much do intel analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for intel analyst in Georgia is $69,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is an intel analyst?

An Intel Analyst, short for Intelligence Analyst, is a professional who collects, analyzes, and interprets information from various sources to help organizations make informed decisions. They typically work for government agencies, military branches, or private sector companies, focusing on security, risk assessment, and threat identification. Intel Analysts use data analysis, critical thinking, and research skills to identify patterns and provide actionable insights. Their work supports national security, law enforcement, or business operations, depending on the sector.

How does an intel analyst typically collaborate with other departments to support organizational objectives?

Intel Analysts work closely with a variety of teams, such as operations, security, and executive leadership, to ensure that their findings directly inform strategic decision-making. Collaboration often involves regular briefings, sharing actionable intelligence, and participating in cross-functional meetings to align on current threats and opportunities. Building strong relationships with colleagues in other departments is key, as it enables analysts to tailor their insights to specific operational needs and ensures organizational objectives are met efficiently.

What are the key skills and qualifications needed to thrive as an intel analyst, and why are they important?

To thrive as an Intel Analyst, you need strong analytical thinking, research skills, and a background in intelligence studies, political science, or a related field. Familiarity with intelligence-gathering tools, data analysis software, and often security clearances or certifications such as CompTIA Security+ are typically required. Attention to detail, critical thinking, and effective written and verbal communication are crucial soft skills in this role. These abilities enable Intel Analysts to accurately interpret complex data, identify threats, and deliver actionable insights to support organizational decision-making and security.

What is the difference between Intel Analyst vs Cybersecurity Analyst?

AspectIntel AnalystCybersecurity Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; often security clearancesBachelor's in Computer Science, Information Security, or related; certifications like CompTIA Security+
Work EnvironmentGovernment agencies, defense, intelligence firmsPrivate companies, IT firms, government cybersecurity teams
Industry UsageDefense, intelligence, national securityIT, finance, healthcare, government
Common Search/ComparisonYesYes

Intel Analysts focus on gathering and analyzing intelligence data to support national security and defense objectives, often working in government or defense sectors. Cybersecurity Analysts primarily protect digital assets by identifying and mitigating cyber threats within organizations. While both roles require analytical skills and security knowledge, their work environments and specific focus areas differ significantly.

Does an Intel Analyst pay well?

Intel Analysts typically earn competitive salaries that vary based on experience, education, and security clearance level. According to industry data, the median annual pay ranges from $70,000 to over $100,000, with additional benefits such as overtime pay and specialized training. The role often requires strong analytical skills and knowledge of intelligence tools and methodologies.

Is an Intel analyst a good job?

An Intel analyst is a role that involves collecting, analyzing, and interpreting intelligence data to support security and strategic decision-making. It typically requires strong analytical skills, attention to detail, and proficiency with intelligence tools and databases. The job can offer stable employment, opportunities for advancement, and often requires security clearances and specialized training.

What are the most commonly searched types of Intel Analyst jobs in Georgia?

The most popular types of Intel Analyst jobs in Georgia are:

What are popular job titles related to Intel Analyst jobs in GA?

For Intel Analyst jobs in GA, the most frequently searched job titles are:

Intel Analyst jobs near you
Infographic showing various Intel Analyst job openings in Georgia as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, 10% Contract, and 3% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $69,622 per year, or $33.5 per hour.

Machine Learning Engineer

Atlanta, GA • On-site

Five and Fly
See more jobs at Five and Flyexternal

Full-time

Re-posted 19 days ago

Job description

Machine Learning Engineer
Department: Machine Learning Engineer
Employment Type: Full Time
Location: Atlanta, GA
Description
We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).
You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Key Responsibilities
  • Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
  • Implement RAG pipelines using vector databases.
  • Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
  • Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
  • Integrate memory, evidence packs, and explainability modules into agentic pipelines.
  • Work hands-on with multiple LLM ecosystems:
    • OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs).
    • Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
    • Google Gemini (multimodal reasoning, advanced RAG integration).
    • Meta LLaMA (fine-tuned/custom models for domain-specific tasks).
  • Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads.
  • Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data.
  • Implement model monitoring, drift detection, and retraining pipelines.
  • Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.
  • Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns.
  • Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data).
  • Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines.
  • Translate research prototypes into production-ready components.
  • Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features.
  • Participate in design reviews, architecture discussions, and model evaluations.
  • Document processes, experiments, and results effectively for knowledge sharing.
  • Mentor junior engineers and contribute to ML engineering best practices.

Skills, Knowledge and Expertise
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
  • 3+ years of experience building and deploying ML systems.
  • Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated experience with at least two of the following ecosystems:
    1. OpenAI GPT models (chat, assistants, fine-tuning).
    2. Anthropic Claude (safety-first AI for reasoning and summarization).
    3. Google Gemini (multimodal reasoning, enterprise-scale APIs).
    4. Meta LLaMA (open-source, fine-tuned models).
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Ability to work with structured and unstructured data at scale.
  • Knowledge of SQL and distributed data frameworks (Spark, Ray).
  • Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring.
  • Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
  • Knowledge of AI safety, guardrails, and explainability techniques.
  • Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure).
  • Experience with CI/CD for ML (MLOps), monitoring, and observability.
  • Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or publications in applied ML research.

Seeking following AFSC/MOSs
US Army:17D - Cyber Capability Developer
17C - Cyber Operations Specialist (Advanced Track)
35Q - Cryptologic Network Warfare Specialist
35N / 35P / 35S (Intel Analysts w/ coding exposure)
US AirForce:17X - Cyberspace Warfare Operations
1B4X1 - Cyber Warfare Operations
9S100 - Scientific Applications Specialist
3D0X4 / 1D7X1 (Software / Data Ops variants)
US Navy:CTN - Cryptologic Technician (Networks)CTI / CTR (with analytics focus)Information Warfare Officers (1810)
US Marine Corps:1721 - Cyberspace Warfare Operator26XX Intel (with data/automation focus)
US Space Force:Cyber Operations (DCO/OCO) Guardians

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