TL;DR

Machine Learning Web Application Architect 2 (AI): Innovating and delivering valuable AI and ML solutions for customers with an accent on developing and integrating complex ML solutions. Focus on designing scalable machine learning pipelines and collaborating across teams.

Location: Arlington

Company

%hirify_global% is a leading source of legal, tax, regulatory, government, and business information for professionals.

What you will do

Design and develop machine learning models to address business challenges, adhering to INDG best practices with integration of AWS services.
Collaborate with cross-functional teams to gather requirements, propose technical solutions, and shape project architecture with cloud infrastructure considerations.
Architect and implement scalable, high-performance machine learning pipelines and infrastructure utilizing AWS and DevOps practices.
Serve as a strong influencer on technical trends and participate in providing technology roadmap/vision for the team, incorporating cloud-based solutions.
Build enterprise applications at-scale using expertise in computer science fundamentals.
Use metrics to make data-driven decisions.

Requirements

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 required.
3+ years of software development experience and/or commensurate skills building commercial and ML applications.
3+ years’ experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.
Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.