TL;DR

Sr. Machine Learning Platform Engineer (AI): Building and maintaining scalable, fault-tolerant ecosystems for machine learning acceleration, focusing on data pipeline construction, backend microservices, and implementing solutions for detecting and countering targeted cyber assaults. Focus on refining product architecture, knowledge models, user experience, performance, and reliability.

Company

%hirify_global% is a global cybersecurity leader protecting people, processes, and technologies with an AI-native platform.

What you will do

Innovate with machine learning to accelerate data science.
Implement monitoring to identify potential vulnerabilities.
Create backend microservices.
Build and maintain data pipelines, contributing to model training and implementation.
Collaborate across teams to brainstorm and devise solutions.
Refine product architecture, knowledge models, user experience, performance, and reliability.

Requirements

Any STEM undergraduate degree.
15+ years of experience with big data and microservices.
Understanding of scalability and distributed systems.
Thorough understanding of engineering best practices.
Ability to thrive in a test-driven, collaborative environment.
Skills to meet commitments on time and produce high-quality software.

Nice to have

Existing exposure to AWS and distributed systems.
Experience with Language Models, Data Science, and Data Engineering.
Prior experience in the cybersecurity or intelligence fields.

Culture & Benefits

Remote-friendly and flexible work culture.
Comprehensive physical and mental wellness programs.
Competitive vacation and holidays for recharge.
Professional development opportunities for all employees.
Vibrant office culture with world class amenities.