обновлено 5 дней назад
Web Application Architect 1– Machine Learning (AI/ML)
110 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Web Application Architect 1– Machine Learning (AI/ML): Implementing and integrating AWS-based machine learning solutions into enterprise applications with an accent on scalable, high-performance ML pipelines and production-quality delivery. Focus on designing cloud-aware project architecture, using metrics for data-driven decisions, and diagnosing/fixing production issues.
Location: Arlington, VA
Salary: $110,000.00-$140,000.00
Company
builds data and analytics solutions for enterprise customers.
What you will do
- Implement machine learning solutions to address business challenges using AWS services.
- Collaborate with cross-functional teams to gather requirements and shape project architecture with cloud infrastructure considerations.
- Architect and implement scalable, high-performance machine learning pipelines and supporting infrastructure using AWS and DevOps practices.
- Build enterprise applications at scale using computer science fundamentals.
- Use metrics to make data-driven decisions and diagnose/fix production issues.
- Write and maintain production-quality code and participate in special projects as assigned.
Requirements
- Education: Bachelor’s degree in mathematics, statistics, computer science, or a related STEM field; or Bachelor’s degree in any subject with a Master’s degree or higher in a STEM field.
- 1+ years of software development experience and/or experience building commercial and ML applications.
- 1+ years of experience with an object-oriented programming language such as Java or Python, plus ML/AI frameworks and libraries.
- Knowledge of the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control, build processes, testing, and operations.
Culture & Benefits
- Full-time employment.
- Compensation range set based on interview outcomes and factors such as experience, skills, education, certifications, and geographic location.
- Equal opportunity employer.
Hiring process
- Interview process used to determine placement within the compensation range.
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