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Forensics Assistant Jobs (NOW HIRING)

NewGen

Host Forensics Analyst

Arlington, VA · On-site +1

Responsibilities * -Assist Federal leads with overseeing and leading forensic teams at onsite engagements by coordinating data collection/acquisition operations * Provide technical assistance on data ...

NewGen

Host Forensics Analyst IV

Arlington, VA · On-site

Responsibilities * Assist Federal leads with overseeing and leading forensic teams at onsite engagements by coordinating evidence collection operations * Provide technical assistance on digital ...

MUFG

Digital Forensics Analyst

Jersey City, NJ · Hybrid

Major Responsibilities * Assist in performing cybersecurity threat detection, assessment, and ... forensics activities align with best practices, minimize gaps in detection and response, and ...

New

U.S. Postal Service

Forensic Computer Analyst

Cleveland, OH · On-site +1

$78K - $144K/yr

Analyzes systems to assist with network intrusion and cybersecurity investigations to determine the ... Knowledge of forensic science techniques, laboratory protocols, research methodologies, quality ...

New

Nwis

Cyber Host Forensic Analyst II

Arlington, VA · On-site

... assist with the restoration of services. Nightwing is seeking a Cyber Host Forensic Analyst to ... support this critical customer mission. Responsibilities: - Acquiring/collecting computer artifacts ...

MUFG

Digital Forensics & eDiscovery

Tempe, AZ · Hybrid

The Assistant Vice President (AVP) role will require you to perform digital forensic collection, analysis and e-Discovery in support of Enterprise Information Security, Legal, Compliance and HR/ER ...

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Forensics Assistant information

What is the difference between Forensics Assistant vs Crime Scene Technician?

AspectForensics AssistantCrime Scene Technician
Required CredentialsHigh school diploma or equivalent; some roles may require a degree in criminal justice or forensic scienceHigh school diploma; specialized training or certification often preferred
Work EnvironmentLaboratory settings, offices, and sometimes crime scenesPrimarily on-site at crime scenes and laboratories
Employer & Industry UsageLaw enforcement agencies, forensic labs, government agenciesLaw enforcement agencies, crime labs, forensic units
Common Search & ComparisonOften compared for entry-level forensic rolesFocuses more on evidence collection at crime scenes

While both Forensics Assistants and Crime Scene Technicians work within forensic and law enforcement environments, Forensics Assistants typically support laboratory analysis and administrative tasks, whereas Crime Scene Technicians focus on collecting evidence at crime scenes. Understanding these differences helps in choosing the right career path or job search focus.

How to become a forensics assistant?

To become a forensics assistant, candidates typically need a high school diploma or equivalent, with some positions requiring an associate's or bachelor's degree in criminal justice, forensic science, or a related field. Relevant skills include attention to detail, knowledge of laboratory procedures, and familiarity with forensic tools and software; certifications in forensic science can also enhance job prospects.

What does a forensic assistant do?

A forensic assistant supports forensic scientists by collecting, preserving, and analyzing evidence from crime scenes. They may prepare reports, operate laboratory equipment, and ensure proper documentation, often working in a laboratory or crime scene environment. Attention to detail and knowledge of forensic procedures are essential for this role.
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What are the most commonly searched types of Forensics jobs?

The most popular types of Forensics jobs are:

What states have the most Forensics Assistant jobs?

States with the most job openings for Forensics Assistant jobs include:

What job categories do people searching Forensics Assistant jobs look for?

The top searched job categories for Forensics Assistant jobs are:

Forensics Assistant jobs near you
Infographic showing various Forensics Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

AI/ML Automation Engineer

Argo Cyber Systems

Arlington, VA • On-site

$120K - $135K/yr

Full-time

Posted 5 days ago

Job description

AI/ML Automation Engineer
Location: Government Facility (Hybrid/Onsite)
Security Clearance: Active Secret Clearance Required (TS/SCI Preferred)
Customer: U.S. Department of Homeland Security (DHS)
Employment Type: Full-Time
About Argo Cyber
Argo Cyber Systems is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering advanced cybersecurity engineering, artificial intelligence, cloud security, digital forensics, threat intelligence, and cyber modernization services to Federal agencies and critical infrastructure organizations.
We are seeking an experienced AI/ML Automation Engineer to architect and implement intelligent automation capabilities that enhance cyber operations, malware analysis, digital forensics, and mission decision-making. This role combines machine learning engineering, generative AI, cloud-native development, and workflow automation to build scalable AI solutions supporting national cybersecurity missions.
Position Overview
The AI/ML Automation Engineer serves as the senior technical lead responsible for designing, developing, deploying, and optimizing AI-driven capabilities across cybersecurity operations.
You will collaborate with cyber analysts, data scientists, software engineers, cloud architects, and mission stakeholders to implement advanced machine learning models, Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG) solutions, autonomous agent workflows, and intelligent automation supporting operational cyber missions.
This position offers the opportunity to shape next-generation AI capabilities used in support of incident response, malware analysis, threat intelligence, digital forensics, and cybersecurity modernization.
Primary Responsibilities
AI & Machine Learning Engineering
  • Design, develop, and deploy enterprise AI and machine learning solutions supporting cybersecurity operations.
  • Develop intelligent automation using LLMs, foundation models, and autonomous AI agents.
  • Build Retrieval-Augmented Generation (RAG) pipelines for secure knowledge retrieval.
  • Design prompt engineering strategies and optimize AI model performance.
  • Develop feature engineering, data preparation, and ML training pipelines.
  • Support model evaluation, tuning, validation, and continuous improvement.
Intelligent Automation
  • Design end-to-end automation workflows for cyber operations.
  • Automate malware collection, detonation, classification, and analysis.
  • Build AI-driven orchestration supporting incident response and digital forensics.
  • Develop APIs enabling secure data exchange between cyber platforms.
  • Automate repetitive analytical processes to improve operational efficiency.
Cloud AI Engineering
  • Design cloud-native AI solutions using AWS services.
  • Develop AI integrations utilizing Amazon Bedrock and foundation models.
  • Implement scalable ML pipelines using Databricks and cloud data platforms.
  • Deploy containerized AI workloads using Docker and Kubernetes.
  • Build CI/CD pipelines supporting rapid AI model deployment.
Data Engineering
  • Design and maintain scalable data ingestion pipelines.
  • Build data transformation, normalization, and enrichment workflows.
  • Develop streaming data integrations supporting AI workloads.
  • Optimize data quality, governance, and operational performance.
  • Support structured, semi-structured, and unstructured data processing.
Cybersecurity AI
  • Develop AI-enabled malware analysis capabilities.
  • Support AI-driven threat intelligence enrichment.
  • Build detection engineering automation.
  • Develop machine learning capabilities supporting digital forensics.
  • Assist cyber analysts by integrating AI decision-support capabilities into operational workflows.
Collaboration & Leadership
  • Provide technical leadership for AI modernization initiatives.
  • Mentor engineers on AI engineering best practices.
  • Collaborate with cybersecurity SMEs and software development teams.
  • Develop architecture documentation, design artifacts, and technical standards.
  • Present AI capabilities to executive leadership and government stakeholders.
Required Qualifications
  • U.S. Citizenship
  • Active Secret Security Clearance
  • Ability to obtain DHS Entry on Duty (EOD) Suitability
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or related STEM field
  • Five (5) or more years of professional experience developing AI, ML, automation, or data engineering solutions
  • Strong Python development experience
  • Experience with Databricks AI Platform
  • Experience implementing machine learning pipelines
  • Experience integrating Large Language Models (LLMs)
  • Experience with Amazon Bedrock and AWS AI services
  • Experience building REST APIs and cloud-native applications
  • Experience with Git, CI/CD pipelines, and software development best practices
  • Strong analytical, problem-solving, and communication skills
Preferred Qualifications
  • Active TS/SCI Clearance
  • Experience supporting DHS, CISA, NSA, FBI, DoD, or Intelligence Community programs
  • Experience implementing Generative AI solutions
  • Experience developing autonomous AI agents
  • Experience building RAG architectures
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks
  • Experience with vector databases (Pinecone, FAISS, ChromaDB, OpenSearch Vector Engine)
  • Experience supporting malware analysis, digital forensics, or threat intelligence
  • Experience implementing MLOps pipelines
  • Experience deploying AI into production cloud environments
Desired Technical Skills
Artificial Intelligence
  • Large Language Models (LLMs)
  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • AI Agents
  • Agentic AI
  • Model Fine-Tuning
  • Reinforcement Learning
  • Natural Language Processing (NLP)
  • Embedding Models
Machine Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • XGBoost
  • ML Pipelines
  • Feature Engineering
  • Model Evaluation
  • Model Deployment
Cloud
  • AWS
  • Amazon Bedrock
  • SageMaker
  • Lambda
  • ECS
  • EKS
  • S3
  • IAM
  • CloudWatch
  • Databricks
Data Engineering
  • Spark
  • Kafka
  • Kinesis
  • Airflow
  • Prefect
  • SQL
  • NoSQL
  • Data Lakes
  • ETL/ELT
  • Vector Databases
Software Engineering
  • Python
  • FastAPI
  • REST APIs
  • Docker
  • Kubernetes
  • Git
  • GitHub Actions
  • Jenkins
  • Terraform
Cybersecurity
  • Malware Analysis
  • Threat Intelligence
  • Incident Response
  • Digital Forensics
  • MITRE ATT&CK
  • Detection Engineering
  • SIEM Integration
  • Security Automation
Desired Certifications
One or more of the following certifications are highly desirable:
  • AWS Certified Machine Learning - Specialty
  • AWS Certified AI Practitioner
  • AWS Solutions Architect - Professional
  • Databricks Certified Machine Learning Professional
  • Microsoft Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • CSSLP
  • DoD 8140 IAT Level III
  • CISSP (Preferred)
  • GIAC Certified Forensic Analyst (GCFA) (Preferred)
What Success Looks Like
Within your first year you will:
  • Deploy secure AI capabilities supporting DHS cyber operations.
  • Develop production-ready LLM and RAG solutions.
  • Automate malware analysis and cybersecurity workflows.
  • Improve analyst productivity through intelligent automation.
  • Establish scalable AI engineering standards and MLOps practices.
  • Deliver measurable mission improvements through AI-enabled decision support.
Why Join Argo Cyber?
  • Design next-generation AI capabilities supporting national cybersecurity.
  • Work with cutting-edge Generative AI, LLMs, and autonomous agent technologies.
  • Collaborate with elite cybersecurity engineers, AI researchers, and Federal mission partners.
  • Influence AI modernization across critical government missions.
  • Competitive compensation, comprehensive benefits, technical training, and opportunities to shape the future of AI-driven cyber operations.
Background & Drug Screening Disclaimer
© Argo Cyber Systems, LLC - All Rights Reserved
Argo Cyber Systems, LLC is committed to maintaining a safe, secure, and trusted workplace for all employees and our federal clients. Employment with Argo Cyber Systems is contingent upon successful completion of all required background investigations and pre-employment screenings, which may include, but are not limited to:
  • Criminal background checks (federal, state, and local)
  • Employment and education verification
  • Reference checks
  • Drug screening (in compliance with federal and state law)
  • Security clearance verification (as applicable for classified positions)

Candidates selected for employment in positions requiring access to sensitive or classified information may also be subject to additional U.S. Government background investigations and security adjudication processes, including DHS Entry on Duty (EOD) suitability or equivalent federal clearance requirements.
Argo Cyber Systems reserves the right to disqualify or rescind an offer of employment based on the results of any background or screening process that, in the company's judgment, may impact an individual's ability to perform essential job functions or meet contractual obligations.
All background investigations and screenings are conducted in accordance with applicable federal, state, and local laws, including the Fair Credit Reporting Act (FCRA). Candidates will be notified of their rights and provided an opportunity to review and dispute any adverse findings before final employment determinations are made.

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