Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-150к/год
$130к$150кмедиана$170к
По похожим ролям (49) ~ $150к/год
На СНГ рынке: $2к/мес ($1.5к - $2.6к)
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Здесь можно заниматься AI и инженерией данных для критически важных систем, но обязательный допуск Top Secret и работа на объекте существенно сужают круг тех, кому подойдет вакансия.
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Обязателен допускАктуальный стекAI для госмиссий
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI/CYBERCOM) (AI/data engineering): Designing and deploying scalable AI-enabled data solutions, pipelines, preprocessing workflows, and machine learning services for secure Department of Defense environments with an accent on data engineering, applied machine learning, and cloud-based platforms. Focus on building reproducible pipelines, deploying models in containerized environments, and supporting mission-critical decision tools at Combatant Commands.
Location: Fort Meade, Maryland, United States; fully onsite at a SCIF.
Salary: $120,000–$150,000 per year.
Company
hirify.global develops and integrates advanced technologies for national security and critical civilian missions.
What you will do
Design, develop, and operationally deploy scalable AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program.
Build data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services.
Deploy solutions in secure, containerized environments supporting Combatant Commands.
Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to turn raw data into insights and decision-support tools.
Apply reproducibility, testing, and continuous delivery practices in an agile environment.
Requirements
Must hold an active Top Secret clearance and be able to work onsite at a SCIF.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent relevant work experience; a master’s degree is preferred.
At least 3 years of data engineering or software engineering experience, including designing and managing complex data pipelines; each year of relevant work experience may substitute for a year of required education.
Experience with data visualization and storytelling using tools such as Palantir’s MSS Workshop and Slate applications.
Nice to have
4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.
Experience developing machine learning models from training through deployment using scikit-learn, TensorFlow, or XGBoost.
Familiarity with MLOps, API development, and secure cloud environments such as AWS, Azure, or Palantir Foundry.
Understanding of data validation, model testing, and performance evaluation techniques.
Strong technical communication skills and the ability to explain complex concepts to non-technical audiences.
Culture & Benefits
Regular, full-time employment with onsite work requirements.
Health, life, disability, retirement, paid time off, and holiday pay benefits, depending on position.
Learning and development opportunities.
Culture centered on collaboration, integrity, humility, continuous improvement, and mission-driven work.
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