Principal ML Engineer at a global networking leader shaping ML strategy and building intelligent systems for network management. Driving innovation in fields like Generative AI and Data Mining.
Responsibilities
Define and drive the technical vision for ML solutions across products and platforms
Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
Architect high-performance, scalable microservices, including synchronous and asynchronous web services
Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
Mentor engineers, set technical direction, and foster a strong team culture
Champion engineering excellence, system resilience, and continuous operational improvement
Requirements
Degree in Computer Science, Mathematics, or a related field
5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
5–10 years of Python expertise, including advanced features and libraries
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