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Entry Level Open Source Intelligence Jobs in Georgia

SW Engineer II

Atlanta, GA ยท On-site

$93K - $128K/yr

Our Experience-Led, Intelligence-Driven approach combines human-centered design with data ... various open-source frameworks. * Design, modify, implement, and document changes to software ...

... an entry level software engineer position Preferred Qualifications: Knowledge of specific ... Open Source tools and frameworks. Strong understanding of SOA methodologies and service ...

... an entry level software engineer position Preferred Qualifications: Knowledge of specific ... Open Source tools and frameworks. Strong understanding of SOA methodologies and service ...

... an entry level software engineer position Preferred Qualifications: Knowledge of specific ... Open Source tools and frameworks. Strong understanding of SOA methodologies and service ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

Experience triaging and resolving issues related to both open source and commercial tools in public ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

Experience triaging and resolving issues related to both open source and commer cia l tools in ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

Experience triaging and resolving issues related to both open source and commercial tools in public ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Experience triaging and resolving issues related to both open source and commercial tools in public ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

We unite cutting-edge media intelligence and data solutions, world-class creativity, next ... We offer end-to-end expertise, guiding projects from plan > source > execute > measure & optimize.

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Entry Level Open Source Intelligence information

What is the difference between Entry Level Open Source Intelligence vs Entry Level Cybersecurity Analyst?

AspectEntry Level Open Source IntelligenceEntry Level Cybersecurity Analyst
Required CredentialsDegree in Intelligence, Security, or related field; certifications like OSINT certificationsDegree in Computer Science, Information Security, or related; certifications like CompTIA Security+
Work EnvironmentGovernment agencies, private intelligence firms, law enforcementIT departments, cybersecurity firms, corporate security teams
Industry UsageIntelligence gathering, national security, law enforcementNetwork security, threat detection, incident response
Common Search/ComparisonYesNo

Entry Level Open Source Intelligence focuses on collecting and analyzing publicly available information for intelligence purposes, often within government or law enforcement. Entry Level Cybersecurity Analysts primarily protect digital assets by monitoring networks and responding to security threats. While both roles require analytical skills and some overlapping certifications, their work environments and objectives differ significantly.

What are entry level open source intelligence jobs?

Entry level open source intelligence (OSINT) jobs involve gathering and analyzing publicly available information from sources such as social media, news outlets, government reports, and online databases. Professionals in these roles use specialized tools and research techniques to support investigations, cybersecurity efforts, or business intelligence. Entry level OSINT analysts typically assist more experienced team members, prepare reports, and help identify potential threats or opportunities based on open data. These positions are often found in government agencies, private security firms, or large corporations with a focus on cyber or information security.

What types of projects or tasks can an entry-level Open Source Intelligence (OSINT) analyst expect to work on in their first year?

As an entry-level OSINT analyst, you can expect to work on a variety of tasks such as collecting and analyzing publicly available information from social media, news outlets, and government databases to support investigations. Early projects often involve creating detailed reports, monitoring emerging trends, and verifying the credibility of sources. You may work closely with senior analysts and cross-functional teams, contributing to security assessments or research missions. This role provides hands-on experience with industry-standard tools and methodologies, laying a solid foundation for specialization and advancement within the intelligence field.

What are the key skills and qualifications needed to thrive as an Entry Level Open Source Intelligence (OSINT) Analyst, and why are they important?

To thrive as an Entry Level Open Source Intelligence Analyst, you need strong analytical skills, attention to detail, and a foundational understanding of research methodologies, often supported by a degree in fields like criminal justice, international relations, or cybersecurity. Familiarity with OSINT tools such as Maltego, Shodan, and search engine operators, as well as basic data analysis platforms, is highly beneficial. Curiosity, critical thinking, and effective written communication are standout soft skills for interpreting data and presenting findings clearly. These skills are vital for accurately gathering, analyzing, and communicating actionable intelligence to inform decision-making and security assessments.
What are the most commonly searched types of Open Source Intelligence jobs in Georgia? The most popular types of Open Source Intelligence jobs in Georgia are:
What are popular job titles related to Entry Level Open Source Intelligence jobs in Georgia? For Entry Level Open Source Intelligence jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Open Source Intelligence jobs in Georgia look for? The top searched job categories for Entry Level Open Source Intelligence jobs in Georgia are:
AI/ML Ops & Infrastructure Engineer - Q126

AI/ML Ops & Infrastructure Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$105K - $137K/yr

Full-time

Posted 6 days ago


Job description

Overview:
Job Title: AI/ML Ops & Infrastructure Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The shift from classical Machine Learning to Generative AI requires a new breed of infrastructure engineering. R2 Technologies is looking for an AI/ML Ops & Infrastructure Engineer to build and manage the operational backbone for our advanced LLM and agentic systems. You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions, including SmartEnt, run with high performance, optimal GPU utilization, and rigorous compliance.
Key Responsibilities: * Design and maintain highly scalable LLMOps pipelines for continuous integration, evaluation, and deployment of machine learning models and AI agents.
  • Deploy and manage containerized AI applications and model inference servers (e.g., vLLM, Ray Serve, NVIDIA Triton) on Kubernetes across multi-cloud environments (AWS, GCP, Azure).
  • Implement comprehensive observability and trace-level logging for multi-step agentic workflows using platforms like LangSmith, W&B Weave, or MLflow.
  • Automate infrastructure provisioning and monitoring using tools like Terraform and agent-driven workflows (e.g., n8n, GitHub Actions).
  • Optimize GPU computing costs, latency, and token usage for high-traffic AI inference endpoints.
  • Enforce security guardrails, toxic output filtering, and robust access policies within the AI deployment infrastructure.
  • Actively utilize AI-assisted coding tools (Copilot, Cursor) to automate infrastructure-as-code (IaC) and streamline Kubernetes management.

Qualifications: *3 years of hands-on experience in MLOps, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure.
  • Strong proficiency in containerization and orchestration (Docker, Kubernetes).
  • Experience with ML/LLM operational platforms (MLflow, Weights & Biases, Databricks Mosaic AI, or SageMaker).
  • Familiarity with serving open-source or fine-tuned LLMs and optimizing inference performance.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Scripting/programming skills in Python and bash, along with experience in CI/CD automation.
  • Passion for the evolving landscape of AI infrastructure, cost-optimization (FinOps), and system reliability.

Skills:
Nvidia,Infrastructure