Web Application Architect 1– Machine Learning (AI/ML)

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

hirify.global 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.