Назад
Company hidden
2 часа назад

Senior AI/ML Engineer (MLOps)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior AI/ML Engineer (MLOps): Leading the design and evolution of production AI/ML services and infrastructure for Department of War modernization with an accent on MLOps standards, scalable architectures, and secure model deployment. Focus on architecting automated pipelines, optimizing model-serving platforms, and establishing governance and monitoring capabilities.

Location: Arlington, VA. Must be a U.S. Citizen with an active DoW Secret (or higher) clearance

Company

hirify.global is a technology company that provides innovative, mission-critical software solutions for government agencies.

What you will do

  • Lead the architecture and evolution of AI/ML services, platforms, and lifecycle capabilities.
  • Translate complex mission requirements into scalable AI/ML architectures and implementation strategies.
  • Define MLOps standards, reusable patterns, and best practices across engineering teams.
  • Architect automated pipelines for model training, validation, testing, deployment, and monitoring.
  • Design secure and reliable model-serving platforms for both batch and real-time inference.
  • Partner with cybersecurity teams to incorporate access control, auditing, and governance requirements.

Requirements

  • U.S. Citizenship and active DoW Secret (or higher) clearance are strictly required.
  • 9+ years of relevant experience in AI/ML engineering, software engineering, or data science.
  • Advanced proficiency in Python and commonly used AI/ML frameworks.
  • Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud).
  • Proven experience designing and delivering enterprise-scale, production-grade AI/ML systems.
  • Expertise in establishing CI/CD, infrastructure-as-code, and automated testing practices.

Nice to have

  • Experience with AWS SageMaker, MLflow, Kubeflow, Airflow, Ray, or Feast.
  • Knowledge of LLMs, Generative AI, RAG, or foundation-model operations.
  • Experience building AI/ML platforms in secure, regulated, or classified environments.
  • Relevant certifications such as CCSP, GSEC, Security+, or SSCP.

Culture & Benefits

  • Flexible PTO and all Federal holidays off.
  • Comprehensive health, dental, and vision insurance plans.
  • 401k with employer match and company-sponsored life insurance.
  • Professional development budget for training, certifications, and conferences.
  • HQ office perks including parking/metro reimbursement and catered lunches.
  • Access to Washington Capitals & Nationals tickets and annual company social events.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →