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Вакансия опубликована 18 дн. назад - шансы на ответ снижаются.
18 дней назад
Jr. Frontend Web Developer (AI/ML and DevSecOps)
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Описание вакансии
Текст:
TL;DR
Jr. Frontend Web Developer (AI/ML and DevSecOps): Building and maintaining web applications, AI/ML integrations, and enterprise API connections for Air Force cybersecurity capabilities with an accent on Vue, Quasar, data architectures, and cloud/Kubernetes deployments. Focus on integrating machine learning solutions, executing DevSecOps pipelines, and deploying web and AI/ML capabilities in regulated DoD environments.
Location: Dayton, Ohio, US; Remote. The role supports work at Wright-Patterson Air Force Base and requires US citizenship.
Company
Applied Research Solutions provides integrated technical solutions, talent, and mission support for government and defense customers.
What you will do
- Develop and maintain front-end and back-end web application code.
- 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 storage solutions.
Requirements
- US citizenship is required.
- Active Secret clearance or the ability to obtain one is required.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
- 3+ years of experience in data architecture, data engineering, or cloud solutions.
- 2+ years of experience designing or implementing AI/ML solutions in production and 3+ years of web development experience, preferably front end.
- Strong JavaScript and Java skills, with familiarity with Python, web application architecture, APIs, data integration, and orchestration tools.
Nice to have
- Experience with Vue and Quasar JavaScript frameworks.
- Familiarity with MongoDB, Neo4j, and PostgreSQL.
- Experience with containers, Kubernetes, MLOps environments, and deploying machine learning models at scale.
- Knowledge of data governance, security, compliance, and DevSecOps pipelines in regulated environments.
Culture & Benefits
- Competitive benefits package and awards and recognition program.
- Career development support and personalized attention from senior managers.
- Work-life balance in a technically challenging environment.
- Employment is contingent on successful completion of a background investigation, including criminal history and identity checks.
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