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Facile Technolab Pvt Ltd
Facile Technolab Pvt Ltd cover picture
Facile Technolab Pvt Ltd logo

Facile Technolab Pvt Ltd

https://faciletechnolab.com
Founded :
2016
Type :
Services
Size :
20-100
Stage :
Bootstrapped

About

Facile Technolab is an IT Services and Software Company that helps operations-heavy industries modernize & scale using AI-enabled Microsoft and Azure solutions.
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Jobs at Facile Technolab Pvt Ltd

Facile Technolab Pvt Ltd
at Facile Technolab Pvt Ltd
Palak Dalal
Posted by Palak Dalal
B, True Value, Westgate, 1201, Sarkhej - Gandhinagar Hwy, near YMCA Club, Vejalpur, Ahmedabad, Gujarat 380015, Ahmedabad
4 - 6 yrs
₹4L - ₹12L / yr
Production
Infrastructure
skill iconKubernetes
Google Cloud Platform (GCP)
SaaS
+2 more

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python


Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.


Responsibilities:

  • Develop and maintain web apps using Python, TypeScript, and Node.js.
  • Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
  • Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
  • Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
  • Write and run tests for application and infrastructure code.
  • Collaborate effectively using online communication tools (Slack, Teams, Zoom).
  • Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

  • 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
  • Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
  • Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
  • Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
  • Conversational English (written, verbal, listening).


Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.


Job Types: Full-time, Permanent

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