This is a role of a Software Engineer who has deep systems thinking to design, build and enhance scalable and highly concurrent ML/AI serving platform. If you’re excited about building production-grade platform and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.
Minimum Qualifications
5+ years of software development experience
3+ years of Python Or Java expertise building Production Applications
Solid understanding of concurrency, threading, multiprocessing and their practical trade-offs in high-throughput production systems
Strong understanding of language internals and their implications in highly concurrent systems
Strong understanding of computer science fundamentals, including data structures and algorithms
Proficiency in profiling, optimizing, debugging applications and libraries
Understanding of Distributed Systems to debug complex cross-platform issues and optimize performance
Bachelor’s degree or equivalent in Computer Science or similar discipline or experience
Fluency in English Language to communicate effectively
Preferred Qualifications
Excellent written and verbal communication skills on both technical and non-technical topic
Deep knowledge of ML/AI frameworks and ecosystem
Proficiency in Containerization technologies like Kubernetes and CNCF technologies
Ability to debug and improve ML workflow tuning for high accuracy
Knowledge of using GenAI to build solutions to improve productivity of developers, users, and business
Works independently and drives problems to closure - from well-reasoned design proposals to deep root-cause analysis of production issues