Staff Engineer- Kubernetes,Grafana and Prometheus Qualcomm

2.0 - 6.0 years

0 Lacs

chennai, tamil nadu

On-site

Qualcomm India Private Limited is looking for a highly skilled and experienced MLOps Engineer to join their team and contribute to the development and maintenance of their ML platform both on premises and AWS Cloud. As a MLOps Engineer, your responsibility will include architecting, deploying, and optimizing the ML & Data platform supporting the training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial for ensuring the smooth operation and scalability of the ML infrastructure. You will collaborate with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of the ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Your responsibilities will include architecting, developing, and maintaining the ML platform, designing and implementing scalable infrastructure solutions for NVIDIA clusters on premises and AWS Cloud, collaborating with data scientists and software engineers to define requirements, optimizing platform performance and scalability, monitoring system performance, implementing CI/CD pipelines, maintaining monitoring stack using Prometheus and Grafana, managing AWS services, implementing logging and monitoring solutions, staying updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proposing enhancements to the ML platform. Qualcomm is looking for candidates with a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, proven experience as an MLOps Engineer or similar role with a focus on large-scale ML and/or Data infrastructure and GPU clusters, strong expertise in configuring and optimizing NVIDIA DGX clusters, proficiency in using the Kubernetes platform and related technologies, solid programming skills in languages like Python, Go, experience with relevant ML frameworks, in-depth understanding of distributed computing and GPU acceleration techniques, familiarity with containerization technologies and orchestration tools, experience with CI/CD pipelines and automation tools for ML workflows, experience with AWS services and monitoring tools, strong problem-solving skills, excellent communication, and collaboration skills. Qualcomm is an equal opportunity employer and is committed to providing reasonable accommodations to support individuals with disabilities during the hiring process. If you are interested in this role or require more information, please contact Qualcomm Careers.,

Posted 5 days ago

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