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MTS - AI / MLOps
Summary by AIEngineer.careers
MTS - AI / MLOps is a MLOps Engineer role (full-time). with Pure Storage. in KARNATAKA, IN. Imported listing (source: notify.careers). Apply on the employer's site (notify.careers).
Imported listing (source: notify.careers) · Apply on notify.careers
KARNATAKA · IN
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from notify.careers
Join Pure Storage as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will integrate Pure Storage platforms with the open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle for customers and partners. This role focuses on designing automated pipelines, optimizing GPU inference, and creating reference architectures for distributed training and LLM serving.
Responsibilities
- Design and automate end-to-end MLOps workflows using CI/CD tools and orchestration platforms like Kubeflow and MLflow.
- Build high-performance AI/ML reference architectures using Infrastructure as Code (Terraform, Ansible) for bare metal and GPU-accelerated Kubernetes clusters.
- Optimize and operationalize GPU inference for large models using NVIDIA Triton, quantization, and model sharding techniques.
- Enable sales and ecosystem adoption by developing automated lab environments, technical documentation, and live demonstrations.
- Collaborate with Data Scientists and Product Management to define strategic MLOps direction and product roadmaps.
Requirements
- Deep expertise in MLOps pipeline design and automation using tools like Kubeflow, MLflow, Vertex AI, or SageMaker.
Pure Storage
Santa Clara · US · 5600+ employees
Pure Storage provides data storage solutions as-a-service, focusing on simplifying enterprise data management for AI, cloud, and modern applications. Founded in 2009, it emphasizes sustainability and performance in its data platform and infrastructure products.
