CareerPlan

Senior MLOps Engineer - DSX Enablement

India, BengaluruFull-time2026-09-02 → 2026-11-10

Core

Develop innovative solutions to advance AI infrastructure capabilities, advise experts on ML workload demands, and solve full-stack AI/ML system problems for internal and external customers.

Role type

Senior MLOps Engineer (AI Infrastructure Enablement)

Builds

Custom AI solutions, MLOps pipelines, distributed training/inference systems, and open-source tools on NeoCloud and NVIDIA Cloud Partners platforms.

Domain

AI Infrastructure / Cloud Computing / High-Performance Computing

Deliverable

production ML models

Required skills

Linux, Kubernetes, distributed filesystems, advanced networking, Python, bash, C++, Go, Rust, ML/DL frameworks, MLOps practices

Preferred skills

Open-source community contribution, NVIDIA ecosystem (DGX, CUDA, NeMo, RAPIDS, Triton, InfiniBand), security-critical environment experience, deep systems knowledge across hardware to application stack