Description

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, fast-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

Interested candidates, please share your resumes with janaki@iitjobs.com

Thanks and Regards

Janaki Tottidi 

janaki@iitjobs.com

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Key Skills

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (or equivalent experience)