MLOps Engineer

Antino • 1 hour ago
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Salary
≈ $27k – $113k per year (Estimated)
Location
In office (Gurgaon)
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Antino

Antino is a global AI-native services and technology consulting firm headquartered in Gurugram, India. Founded in 2019 by IIT Kharagpur alumni Vinay Krishna Gupta and Rajesh Kumar, the company specializes in digital product engineering, custom software development, and AI-driven business transformation.
antino.com • Bengaluru • Gurgaon • Mobile App Development • Software • Information Technology • Est. 2018

We are seeking a Senior MLOps / LLM Infrastructure Engineer to drive the deployment, distributed training, and infrastructure optimization of large-scale machine learning models. In this role, you will bridge the gap between AI development and production systems, ensuring high GPU utilization, scalable performance, cost efficiency, and cloud-agnostic architectures for models up to 20B parameters.

Responsibilities:

  • Deploy and manage ML/LLM models (< 20B parameters) in production environments.
  • Design and execute model load testing and performance benchmarking (latency, throughput, memory, cost).
  • Build and optimize multi-node, multi-GPU training pipelines.
  • Configure and tune distributed training frameworks (data parallelism, model parallelism, and pipeline parallelism).
  • Optimize GPU utilization, memory footprint, and inference costs.
  • Set up CI/CD pipelines for model deployment and retraining.
  • Troubleshoot GPU, networking, and performance bottlenecks.
  • Work across cloud platforms to ensure portability and vendor-agnostic deployments.

Requirements:

  • Strong experience with GPU workloads (NVIDIA GPUs, CUDA concepts).
  • Proven expertise in model deployment on AWS, Azure, and GCP.
  • Hands-on experience deploying models up to 20B parameters.
  • Experience with distributed training (multi-node, multi-GPU setups).
  • Deep understanding of load testing, stress testing, and benchmarking ML systems.
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