Senior MLOps Engineer - Deep Learning Algorithms

September 15

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Automating and optimizing testing of Deep Learning models from different data domains. • Developing shared utilities for setting up systems, running tests, and recording results. • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. GitLab, Kubernetes, Docker, Terraform). • Be part of the architecture and design decisions for backend, infrastructure and software release. • Leading best-practices for building, testing, and releasing software. • Identifying infrastructure needs and translating them into action. • Building tools for automatic content generation mechanisms that saves dozens of engineering hours.

Requirements

• BSc or MSc degree in Computer Science, Computer Architecture or related technical field, or equivalent experience. • 6+ years of work experience in software development. • Excellent Python programming skills. • Knowledge and love for DevOps/MLOps practices. • Experience in architecture and system design. • Strong experience in setting up, maintaining, and automating continuous integration systems. • Willing to take action and have strong analytical skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Algorithms and AI fundamentals. • Good communication and documentation habits.

Benefits

• equity • benefits