Job Description – AI Infrastructure / ML Systems Engineer

Experience:
2–3 Years

Location:
India

Work Mode:
Remote

Employment Type:
Full-Time

About the Role

iitjobs is looking for a highly capable
AI Infrastructure / ML Systems Engineer
to join its engineering team and work on the infrastructure powering next-generation AI and scientific computing workloads.

We are looking for engineers with a
high technical skill ceiling
who thrive in rigorous, quick-paced startup environments. The ideal candidate will have hands-on exposure to
GPU infrastructure, servers, AI/ML model infrastructure, cloud environments, and distributed computing systems
.

This is an opportunity for an engineer who enjoys working close to the hardware and infrastructure layer while supporting demanding AI/ML workloads.
- Work on
AI/ML infrastructure
, including GPU servers, compute, storage, networking,



and cloud environments supporting model training and inference.
- Build, deploy, and optimize
GPU-based infrastructure
for AI workloads; troubleshoot performance and system-level issues.
- Strong hands-on experience with
Linux, Python/Go/C++, Docker, Kubernetes
, and cloud platforms such as AWS/GCP/Azure.
- Collaborate closely with
AI/ML engineers and research teams
to improve infrastructure performance, scalability, reliability, and cost efficiency.
- Looking for
high-caliber engineers from rigorous, high-growth startups/product companies
, with strong problem-solving skills and exposure to GPUs, servers, AI model infrastructure, and distributed systems. Past submissions can be resubmitted

📌 AI/ML Engineer (India)
🏢 IITjobs
📍 India