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3 часа назад

AI/ML Engineer (MLOps)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
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

AI/ML Engineer (MLOps): Designing and maintaining production AI/ML services and infrastructure for the Department of War with an accent on MLOps practices and automated pipelines. Focus on building scalable model-serving capabilities, implementing CI/CD for ML, and ensuring security and reliability in mission-critical defense environments.

Location: Arlington, VA. U.S. Citizenship and active DoW Secret (or higher) clearance required.

Company

A forward-thinking technology partner focused on delivering impactful innovation and solving mission-critical problems for the government.

What you will do

  • Design and maintain AI/ML services and lifecycle capabilities supporting defense missions.
  • Develop automated pipelines for model training, validation, deployment, and monitoring.
  • Build scalable model-serving capabilities for batch or real-time inference.
  • Implement MLOps practices using CI/CD, infrastructure as code, and automated testing.
  • Collaborate with data engineers and cybersecurity teams to operationalize secure models.
  • Optimize AI/ML infrastructure for performance, reliability, and cost efficiency.

Requirements

  • U.S. Citizenship and active DoW Secret (or higher) clearance.
  • 4+ years of AI/ML engineering, software engineering, or data science experience.
  • Proficiency with Python and commonly used AI/ML frameworks.
  • Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
  • Proven experience building automated MLOps pipelines and deploying production-grade systems.
  • Bachelor’s degree in Computer Science or a related technical field preferred.

Nice to have

  • Experience with AWS SageMaker or comparable cloud AI/ML platforms.
  • Experience with MLflow, Kubeflow, Airflow, Argo Workflows, or Ray.
  • Familiarity with LLMs, Generative AI, and Retrieval-Augmented Generation (RAG).
  • Professional certifications such as Security+, CCSP, CFR, or GSEC.
  • Previous experience supporting DoW or other federal enterprise data platforms.

Culture & Benefits

  • Flexible PTO and all Federal holidays off.
  • Comprehensive health, dental, and vision insurance plans.
  • 401k with employer match and Flexible Spending Account (FSA).
  • Budget for professional development, training, and certifications.
  • HQ office perks including parking/metro reimbursement and catered lunches.
  • Annual social events, hackathons, and access to Washington Capitals & Nationals tickets.

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