Вакансия из Hirify Global, списка международных tech-компаний
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В названии указан junior-уровень, но нужны годы опыта сразу во фронтенде, data engineering и production AI/ML, а зарплата не указана. Из-за этого сложно понять реальный уровень роли и оценить условия.
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Текст:
Hirify AI/Оригинал
TL;DR
Jr. Frontend Web Developer (AI/ML, DevSecOps): Developing and maintaining frontend, backend, and AI/ML integration code for web applications supporting Air Force cyberspace capabilities with an accent on Vue, APIs, data architecture, and secure delivery. Focus on integrating applications with enterprise systems, deploying web and ML capabilities to cloud and Kubernetes environments, and operating DevSecOps pipelines in regulated DoD environments.
Location: On-site at Wright Patterson Air Force Base, Dayton, Ohio, United States. Must be a US citizen and hold an active Secret clearance or be able to obtain one.
Company
Applied Research Solutions provides technically integrated solutions, talent, and technology for mission support across focused markets.
What you will do
Develop and maintain front-end and back-end code for web applications.
Develop and maintain AI/ML integration code.
Integrate web applications with enterprise systems through APIs.
Execute and interpret DevSecOps pipeline results and update applications as needed.
Collaborate with host teams to deploy web applications and AI/ML capabilities to cloud and Kubernetes environments.
Define data models and data storage solutions.
Requirements
US citizenship is required.
An active Secret clearance or the ability to obtain one is required.
A bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field is required.
3+ years of experience in data architecture, data engineering, or cloud solutions.
2+ years of experience designing or implementing AI/ML solutions in production.
3+ years of experience in web development, preferably front end.
Strong JavaScript or Java background and familiarity with Python.
Familiarity with web application architecture and JavaScript frameworks, particularly Vue and Quasar.
Familiarity with document, graph, and relational databases, including MongoDB, Neo4j, and PostgreSQL.
Familiarity with AI/ML principles and techniques, APIs, data integration, orchestration tools, containers, Kubernetes, and DevSecOps pipelines.
Understanding of data governance, security, and compliance, especially in regulated DoD environments.
Nice to have
Experience working in MLOps environments and deploying ML models at scale.
Familiarity with containers and Kubernetes.
Culture & Benefits
Full-time employment with competitive benefits.
Career development support and challenging technical work.
Work-life balance and personalized attention from senior managers.
Awards and recognition program.
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