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LUMIQ
FULL TIMEON SITE

Sr. Engineer - AI Infrastructure & Optimization

LUMIQWebsite
Noida, Uttar Pradesh
Posted on April 23, 2026

Job Description

Overview

The Sr. Engineer - AI Infrastructure & Optimization role focuses on deploying and optimizing large language models on AWS. Responsibilities include model deployment, optimization, and infrastructure architecture. Key requirements include extensive experience with ML frameworks and AWS services. The company operates within the financial services industry, providing opportunities to work on diverse and cutting-edge AI projects.

Job Role

Sr. Engineer - AI Infrastructure & Optimization

Skills Required

  • Python
  • ML
  • PyTorch
  • Tensorflow
  • EC2
  • S3

Requirements

  • Bachelor's degree in Computer Science or related field.
  • 5+ years in ML infrastructure or GPU computing.
  • Strong skills in Python and ML frameworks (PyTorch, TensorFlow).
  • Proficiency with GPU programming and CUDA optimization.
  • Experience with AWS services and distributed training frameworks.

Responsibilities

  • Lead deployments of large language models on AWS infrastructure.
  • Design training and inference pipelines using Amazon SageMaker.
  • Optimize model performance through GPU-level tuning.
  • Architect scalable ML infrastructure and troubleshoot bottlenecks.
  • Partner with AWS AI specialists for model requirements and deployment.

What We Offer

  • •Opportunity to influence AWS infrastructure and services.
  • •Engage with strategic customers for impactful projects.
  • •Work on cutting-edge AI and ML technologies.
  • •Collaborative environment with leading experts.
  • •Dynamic and fast-paced industry work.

Skills & Technologies

AI InfrastructureEngineer

Job Details

  • Job Function

    Data Science & Machine Learning

  • Industry

    technology

  • Experience Required

    5 - 9 years

  • Qualification

    bachelor

  • Openings

    1 position

About Company

LUMIQ

LUMIQ

Financial Services

Visit Company Website

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