Machine learning állás, munka

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

• Help design smart, scalable cloud applications using Azure-native and custom components
• Build, operate, and monitor cloud solutions end‑to‑end
• Automate everything you can – scripts, processes, workflows

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Partner with engineering, finance, and product teams to track, analyze, and forecast AWS and cloud hosting spend across multiple services and environments. Lead ongoing cost optimization initiatives by identifying waste, working with technical teams to address the waste, optimize the spend, and...