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Cyber Machine Learning Engineer (AI)

86 800 - 198 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Cyber Machine Learning Engineer (AI): Designs, develops, and operationalizes AI/ML solutions that enhance cybersecurity capabilities with an accent on cyber threat analysis, production-grade model deployment, and decision support. Focus on investigating endpoint and network data, packaging models with Python and container technologies, and building data pipelines for cyber defense automation.

Location: McLean, Virginia, USA; remote work available, with occasional in-person work at a Booz Allen or customer facility possible.

Salary: $86,800.00–$198,000.00 annualized USD.

Company

hirify.global provides technology, cybersecurity, AI, and mission-support solutions.

What you will do

  • Design, develop, and operationalize AI/ML solutions for cyber defense, automation, and decision support.
  • Work with AI Engineers, Software Engineers, and Cyber Operators to develop and deploy production-grade AI systems.
  • Apply cybersecurity expertise to identify opportunities for machine learning and support cyber investigations.
  • Explore security datasets, train inference models, and use model outputs to advance investigations.
  • Work independently on complex technical problems and mentor junior team members as needed.

Requirements

  • At least 2 years of experience with cyber threat hunting and compromise analysis using security logs, including endpoint and network data.
  • At least 2 years of experience exploring datasets, training machine learning models for inference, and applying outputs to cyber investigations.
  • Experience with the MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms including seQure.
  • Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
  • Experience with data warehousing, ETL, or data streaming technologies, including Kafka.
  • Experience with SIEM technologies such as Splunk or Elasticsearch.
  • Experience developing novel solutions for challenging problems and working in a fast-paced team that rapidly prototypes and iterates.
  • Ability to obtain a TS/SCI clearance; selected applicants are subject to a security investigation and classified-information eligibility requirements.
  • High school diploma or GED.

Nice to have

  • Experience with large language models, natural language processing, and data science workflows.
  • Experience with data brokers such as Kafka, Confluent, Benthos, RedPanda, or RabbitMQ.
  • Experience with Azure, AWS, GovCloud, or distributed systems.
  • Existing TS/SCI clearance with a polygraph.

Culture & Benefits

  • Full-time employees are eligible for health, life, disability, financial, retirement, paid leave, professional development, tuition assistance, work-life, and dependent-care benefits; eligibility also applies to part-time employees regularly working at least 20 hours per week, with select offerings below that threshold.
  • Remote employees may occasionally be required to work at a Booz Allen or customer facility.
  • Virtual employees are generally expected to keep cameras on during meetings.
  • Identity verification uses biometrics; candidates are expected to be on camera during interviews and assessments.
  • Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Hiring process

  • Complete the identity verification process and remain on camera during interviews and assessments.
  • AI assistance during interviews is not allowed unless permission is explicitly provided.

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