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Google Ai Essentials Jobs in Reston, VA (NOW HIRING)

Customers turn to Gopuff to provide their everyday essentials--day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

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Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Customers turn to Gopuff to provide their everyday essentials--day and night, rain or shine. We're ... Google G-Suite) -Stand and walk for the duration of an assigned shift -Lift up to 49 pounds ...

Apply Early

Google Ai Essentials information

What jobs can I get with a Google AI Essentials certification?

A Google AI Essentials certification can qualify you for roles such as AI analyst, data scientist, machine learning engineer, or AI developer, especially in environments that utilize Google Cloud tools and AI services. These roles typically require knowledge of AI concepts, programming skills, and experience with cloud platforms, making the certification valuable for entry-level and intermediate positions in AI and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, which offer compensation in that range due to expertise, experience, and the complexity of projects. These roles often require advanced skills in programming, data analysis, and familiarity with AI tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What types of projects do employees typically work on in the Google AI Essentials team, and how does collaboration occur across different departments?

In the Google AI Essentials team, employees often work on foundational AI projects that support Google's core products and services, such as developing scalable machine learning models, optimizing data pipelines, and enhancing AI infrastructure. Collaboration is highly cross-functional, with regular interactions between engineers, product managers, researchers, and UX designers to ensure solutions are technically robust and user-centric. Team members frequently participate in code reviews, brainstorming sessions, and sprint planning meetings, fostering a culture of continuous learning and knowledge sharing. This collaborative environment helps team members broaden their expertise and contribute to impactful, high-visibility projects.

Is the Google AI Essentials certificate worth it?

The Google AI Essentials certificate provides foundational knowledge in artificial intelligence and machine learning, which can enhance a candidate's understanding of AI concepts. It is valuable for those seeking entry-level roles or to build skills in AI tools and frameworks, but its impact on job prospects depends on the specific employer and role requirements.

What is the difference between Google Ai Essentials vs Data Analyst?

AspectGoogle Ai EssentialsData Analyst
Required CredentialsBasic understanding of AI tools, certifications in Google Cloud or AI fundamentalsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI-focused projects, cloud platformsBusiness intelligence, finance, marketing departments across industries
Employer & Industry UsagePrimarily tech and AI companies using Google Cloud servicesVarious industries analyzing data to inform business decisions
Search & Comparison IntentUnderstanding AI tools and certificationsData analysis skills and career paths

Google Ai Essentials focuses on foundational AI knowledge and Google Cloud certifications, ideal for roles involving AI tools. Data Analysts interpret data to support business decisions, often requiring statistical expertise. While both roles involve data, Google Ai Essentials is more tech and AI tool-oriented, whereas Data Analysts focus on data interpretation across industries.

What are the key skills and qualifications needed to thrive as a professional leveraging Google AI Essentials, and why are they important?

To excel with Google AI Essentials, you need a foundational understanding of artificial intelligence concepts, data analysis, and problem-solving, often supported by relevant coursework or certifications. Familiarity with Google Cloud Platform tools, TensorFlow, and basic programming languages like Python is commonly required. Strong communication, curiosity, and adaptability help professionals effectively translate AI insights into actionable business strategies. These competencies enable individuals to implement AI solutions responsibly and drive innovation within their organizations.

What are Google AI Essentials?

Google AI Essentials is an online course developed by Google to provide foundational knowledge and practical skills in artificial intelligence (AI). The course is designed for beginners and covers key topics such as machine learning basics, ethical considerations, and how AI is used in real-world applications. It includes hands-on exercises and does not require prior coding experience, making it accessible for a wide range of learners. Upon completion, participants receive a certificate that can help demonstrate their understanding of AI concepts to employers.
What job categories do people searching Google Ai Essentials jobs in Reston, VA look for? The top searched job categories for Google Ai Essentials jobs in Reston, VA are:
What cities near Reston, VA are hiring for Google Ai Essentials jobs? Cities near Reston, VA with the most Google Ai Essentials job openings:
Infographic showing various Google Ai Essentials job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution.

CSOC Threat Management Specialist (Tier 2)

Nwis

Falls Church, VA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

Nightwing is seeking to hire a Cyber Threat Management Specialist.

The Tier 2 Analysts perform deep-dive incident analysis by correlating data from various sources and determines if a critical system or data set affected. Handle incidents as defined in Playbooks and SOPs. They also advise on remediation actions and provide input and analysis on how to leverage Artificial Intelligence, Machine Learning, and SOAR capabilities to improve CSOC efficiency and accuracy

Key Responsibilities:

  • Identification of Cybersecurity problems which may require mitigating controls
  • Analyze network traffic to identify exploit or intrusion related attempts
  • Recommend detection mechanisms for exploit and or intrusion related attempts
  • Provide subject matter expertise on network-based attacks, network traffic analysis, and intrusion methodologies
  • Escalate items which require further investigation to other members of the Threat Management team
  • Execute operational processes in support of response efforts to identified security incidents
  • Utilize AI/ML-based tools and techniques to detect anomalies, automate incident triage, and improve threat intelligence
  • Performing and analyzing threat intelligence to assess risk and adapt defenses using ML enhance tools
  • Manage email security using ProofPoint, monitor for threats, and promptly respond to attacks
  • Configure Splunk for log analysis, create alerts, and investigate security incidents diligently
  • Set up FirePower for network monitoring, analyze traffic patterns, and enforce robust security measures
  • Deploy Sentinel 1 agents efficiently, monitor alerts closely, and conduct thorough security assessments
  • Monitoring, reviewing, and responding to security alerts and incidents across multiple platforms including Microsoft Defender for Cloud Apps, Defender for Endpoint, Defender XDR, Defender for Office 365, Azure Entra ID, and Google Cloud Security Command Center (SCC)
  • Performing threat detection and analysis, investigating suspicious activity, coordinating incident response efforts, and implementing remediation actions
  • Tuning security policies, maintaining visibility into cloud and endpoint environments, and supporting continuous improvement of the organization's security posture
  • Stay current on the latest cybersecurity trends, threat actors, and AI/ML research relevant to the field
  • Identify and support automation use cases, including the use of AI/ML to enhance SOC capabilities.
  • Collaborate across Operations to provide SOC enhancement capabilities through the use of automation and AI.

Language Skills:

English

Educational Requirements:

  • BA or BS in Computer Science, Information Technology or related field
  • One or more relevant certifications such as GIAC Certified Enterprise Defender (GCED), GIAC Certified Security Essentials (GSEC), CISSP, or SSCP desired

Qualification Requirements:

  • 3+ years IT security experience with at least some exposure to AI/ML projects
  • 2+ years' experience in network traffic analysis
  • Strong working knowledge of:
    • Boolean Logic
    • TCP/IP Fundamentals
    • Network Level Exploits
    • Threat Management
  • Knowledge of Control Frameworks and Risk Management techniques
  • Excellent oral, written communication skills and excellent interpersonal and organizational skills
  • Strong understanding of IDS/IPS technologies, trends, vendors, processes and methodologies
  • Strong understanding of common IDS/IPS architectures and implementations
  • Strong understanding of IDS/IPS signatures, content creation and signature characteristics including both signature and anomaly-based analysis and detection
  • Experience with cloud security (AWS, Azure, GCP)
  • Hands-on experience with cybersecurity automation (e.g., SOAR platforms).
  • Proficiency in using machine learning frameworks to develop, train, and deploy models for anomaly detection, threat intelligence, and behavioral analysis in cybersecurity contexts.
  • Skills in data analysis and feature engineering, with the ability to preprocess and transform large datasets from various sources (e.g., logs, network traffic) to extract relevant features for machine learning models aimed at identifying security incidents and vulnerabilities.
  • Familiarity with the application of AI/ML techniques in cybersecurity, including but not limited to automated threat detection, incident response automation, and predictive analytics. Experience in evaluating the effectiveness of AI/ML solutions in a SOC environment is a plus.
  • Understanding and experience identifying and implementing automation use cases.

At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we'll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.


Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team.

Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.