AI and Machine Learning (ML) Performance Engineer Job Vacancy in Hewlett Packard Enterprise Bengaluru, Karnataka – Updated today
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Company Name : Hewlett Packard Enterprise
Location : Bengaluru, Karnataka
Position :
Job Description : Description
We are seeking an experienced AI and Machine Learning (ML) Performance Engineer with experience optimizing and tuning ML workloads on a variety of platforms. Familiarity with Linux operating systems, containers and extensive experience working in cluster(multi-server) IT environments in the cloud and on premise. Experience working with communication libraries such as MPI, UCX and the ability to build ML workload from the ground-up to run within HPC Linux clusters. This includes pre-containerizing the workload, building the container and then deploying the container on the cluster. Requires deep knowledge of tuning and optimizing various system parameters to get optimal performance on the system and cluster.
Applicants should be able to write a neural network in python and utilize profiling tools to figure out the bottlenecks in the performance. Knowledge of accelerators like Graphic Processing Units (GPUs) and their associated libraries such as NCCL, CUDA and cudNN.
Most importantly, we seek applicants who are excited to work at the cutting edge of technology with the most capable and talented lab team in AI. Strong written and spoken communication skills are a must so we can maintain high efficiency on a remote and globally dispersed team.
Responsibilities
Optimize the performance of deep learning models on GPUs and accelerators
Analyze and optimize the performance of deep learning models at scale
Keep yourself up to date with the latest in the AI/machine learning field and share this knowledge with the team
Port/Optimize the latest models coming out of research on to the HPE platform
Required Skills and Experience
Must have experience with Linux command-line on multiple Linux distributions
Experience coding in Python; C, C++ or Fortran is a bonus
Experience with machine and deep learning frameworks such as PyTorch, TensorFlow and MXNet
Experience with Infinibandtechnology
Must have critical thinking and problem-solving skills
Experience with one or more programming languages
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This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office
This post is listed Under Technology
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