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19 часов назад

Data Operations Technical Lead (AI)

Формат работы
onsite
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

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TL;DR

Data Operations Technical Lead (AI): Building and sustaining enterprise data infrastructure to enable analytics and AI capabilities across the SOF enterprise with an accent on data engineering, integration, and data operations. Focus on designing scalable ETL pipelines, overseeing AI/ML model training infrastructure, and implementing enterprise data governance.

Location: Tampa, FL (MacDill AFB). Active TS/SCI clearance required. CONUS and OCONUS travel required.

Company

hirify.global, Inc. (DSA) provides technical solutions and support for U.S. Special Operations Command (SOCOM).

What you will do

  • Lead the design, development, and sustainment of enterprise data architectures and pipelines for large-scale AI/ML model training and deployment.
  • Establish enterprise data management frameworks, including data governance, quality, and metadata management.
  • Oversee data ingestion, transformation, and dissemination processes to ensure reliability and scalability across distributed environments.
  • Develop ETL processes, APIs, and scalable pipeline architectures across cloud, hybrid, and classified environments.
  • Guide DevSecOps and CI/CD practices for the automated and secure deployment of data pipelines.
  • Collaborate with SOF data leaders and stakeholders to translate mission needs into scalable data engineering solutions.

Requirements

  • Active TS/SCI clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 8+ years of experience managing digital projects in support of SOF Enterprise customers.
  • Proven experience supporting data pipelines for AI/ML workflows and leading data operations teams.
  • Strong proficiency in Python and SQL.
  • Experience with data orchestration and pipeline tools such as Airflow, NiFi, Spark, and Kafka.

Nice to have

  • Experience with cloud, hybrid, or containerized data platforms.
  • Knowledge of APIs and microservices-based data services.
  • Experience supporting advanced AI or large-scale data processing workloads with high throughput.
  • Experience managing SOF agile development and data operations processes.

Culture & Benefits

  • Opportunity to work on mission-critical AI/ML infrastructure for the SOF enterprise.
  • Work in highly secure, classified, and distributed operational environments.
  • Commitment to equal opportunity, diversity, and a workplace free from discrimination.
  • Professional growth in a high-stakes, mission-driven government contracting environment.

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