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10 часов назад

Technical Lead ML Engineer (AI)

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

Текст:
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TL;DR
Technical Lead ML Engineer (AI): Leading the design, development, and deployment of secure, scalable AI/ML solutions for mission-critical enterprise initiatives with an accent on deep learning, generative AI, cloud architectures, and MLOps. Focus on transforming research prototypes into production systems, building AI/ML pipelines, integrating enterprise platforms, and guiding technical teams.

Location: Remote

Company

hirify.global delivers digital services and technology solutions supporting the health and safety missions of veterans, service members, civilians, and federal agencies.

What you will do

  • Lead the design, development, testing, deployment, and productization of AI/ML solutions for mission-critical enterprise initiatives.
  • Serve as the primary technical contact for customers and stakeholders, defining AI/ML strategies and technical roadmaps.
  • Design and optimize scalable machine learning and deep learning models for structured and unstructured data.
  • Transform research prototypes into secure, scalable, production-ready enterprise solutions.
  • Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities across cloud-native and distributed environments.
  • Build, mentor, and guide AI/ML engineering teams while supporting staffing, hiring, and professional development.

Requirements

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems.
  • Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures.
  • Experience working in Agile or DevSecOps environments.
  • Excellent communication and stakeholder engagement skills.
  • Ability to collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders.

Nice to have

  • Experience supporting Intelligence Community, Department of Veterans Affairs, Department of Defense, or other federal government programs.
  • Experience with large language models, generative AI, RAG architectures, and vector databases.
  • Familiarity with AI governance, explainable AI, and responsible AI practices.
  • Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms.
  • Active or current TS/SCI security clearance.

Culture & Benefits

  • Benefits package supporting physical, mental, and financial health and wellness.
  • Growth-minded and entrepreneurial work environment.
  • Opportunities to learn new skills, take on new challenges, and advance professionally.
  • Inclusive culture focused on opportunity and shared team success.
  • Strong support for military veterans, transitioning service members, and military spouses.

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