AI Principal Machine Learning Engineer (Generative AI, Big Data)

TL;DR

AI Principal Machine Learning Engineer (Generative AI, Big Data): Leading the design and architecture of next-generation networking experiences using Generative AI, Machine Learning, Big Data, and Cloud Computing with an accent on developing large-scale distributed ML platforms and real-time inferencing systems. Focus on innovating with Generative AI solutions like RAG and AI Agents and translating emerging technologies into production-ready, scalable products.

Location: Remote (United States)

Salary: up to USD 170000 plus benefits

Company

hirify.global is a recognized Technology Leader experiencing unprecedented growth worldwide, pioneering solutions for AI-driven network management.

What you will do

• Provide technical leadership and vision for large-scale distributed systems, ML platforms, and next-generation data infrastructure.
• Lead the design, architecture, and delivery of end-to-end solutions across the full SDLC.
• Drive innovation in Big Data, Generative AI, and Graph ML into production-ready solutions.
• Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure.
• Mentor engineering teams, set technical direction, and foster engineering rigor and collaboration.
• Champion best practices for building resilient, secure, and high-performance systems.

Requirements

• Degree in Computer Science, Mathematics, or a related field.
• 10+ years of experience across the full software development lifecycle.
• 5+ years of experience with distributed Big Data and ML platforms (e.g., Spark, Lakehouse, Kafka).
• Hands-on experience building Generative AI solutions (e.g., RAG, AI Agents, LLM fine-tuning) in production.
• Experience working with Graph ML and Graph technologies (e.g., GNNs).
• 5+ years of experience deploying large-scale solutions on cloud platforms (e.g., AWS, Azure, GCP).

Culture & Benefits

• Greenfield opportunity to shape next-gen networking experiences at the cutting edge of AI.
• Committed to a culture of diversity, inclusion, and equality.
• Innovation is encouraged and expected.
• Opportunities to create global impact.