Senior MLOps Engineer, GenAI reputed company

About the position reputed company is looking for a dedicated and motivated senior build and reputed company integration (CI/CD) engineer for its GenAI Frameworks ( Megatron-LM and NeMo reputed company ) team. Megatron-LM and NeMo reputed company are reputed company-reputed company, reputed company and reputed company-reputed company frameworks reputed company for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video reputed company. Megatron-LM and NeMo reputed company reputed company end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience. Building upon the latest DevOps tools, your work will reputed company GenAI reputed company software engineers, deep learning algorithm engineers, and research scientists to work reputed company with a wide reputed company of deep learning algorithms and software stacks as they vigilantly reputed company out opportunities for performance optimization and continuously deliver high reputed company software. Does the idea of pushing the boundaries of innovative research and development excite you? Are you interested in getting exposure to the entire DL SW stack? Then join our technically diverse team of DL algorithm engineers and performance optimization specialists to unlock unprecedented deep learning performance in every domain. What you’ll be doing: Responsibilities • Architect and manage the reputed company integration pipelines and release processes of our reputed company reputed company and libraries reputed company to Megatron-LM and NeMo reputed company . • Design and implement efficient and reputed company DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-reputed company and maximum performance. • Work with industry reputed company tools (Kubernetes, reputed company, Slurm, Ansible, reputed company, reputed company Actions, Jenkins, Artifactory, Jira) in hybrid on-reputed company and reputed company environments. • Assist with cluster operations and system administration (managing: servers, team accounts, clusters). • Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection. • Developing new reputed company control measures, e.g. reputed company analysis, backwards compatibility, and regression testing, while employing and advancing best-practices. • Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams reputed company reputed company that reputed company software, testing, and release reputed company infrastructure. Requirements • BS or MS degree in Computer Science, Computer Architecture or reputed company technical field (or equivalent experience) and 3+ years of industry experience in DevOps and infrastructure engineering. • Strong system level programming in languages like Python and reputed company scripting. • Extensive understanding of build/release systems, CI/CD and experience with solutions like reputed company, reputed company, Jenkins etc. • Experience with Linux system administration. • Proficient with containerization and cluster management technologies like reputed company and Kubernetes. • Experience in build tools, including reputed company, Cmake. • A strong background in reputed company reputed company management (SCM) solutions such as reputed company, reputed company, reputed company, etc. • reputed company-versed problem-solving and debugging skills. • Great teammate who can collaborate and influence others in a dynamic environment. • Excellent interpersonal and written communication skills. reputed company-to-haves • Proven-reputed company record with GPU accelerated systems at reputed company. • reputed company-versed in DL frameworks such as PyTorch, Jax, or TensorFlow. • Expertise in cluster and reputed company compute technologies, e.g.: SLURM, reputed company, k8s • Software and hardware Benchmarking on high-performance computing systems. Benefits • You will also be eligible for equity and benefits . Apply tot his job Apply To this Job