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Machine Learning DevOps Engineer

Passionate about DevOps for Scalable Full Stack AI Systems ?

We are building the first NO-CODE AI PLATFORM for the AEC industry, with the 3rd generation Explainable AI, that allows users to create complex use cases with zero coding at the frontend and neuro-symbolic AI under the hood.


We are looking for a Machine Learning DevOps Engineer to join our Bengaluru office.

You will be part of our platform development team and will build DevOps framework to productionize Machine Learning Models at scale.

  • Develop and maintain GitLab Repositories for Machine Learning and Web Application development, including versioning
  • Develop workflow orchestration CI/CD pipelines such as GitLab CI
  • Implement Testing Automation using tools such as Selenium, Nose Test, Unit Test for Web Applications and Python
  • Automate workflow management with Dockerized versions of the software
  • Specify configurations for varied types of deployment environments, incl. compute and memory requirements
  • Monitoring of analytics using tools such as AWS CloudWatch, BigPanda, GoogleStackDriver
  • Be responsible for Security Management

The technology will scale in public/private cloud across a rapidly increasing number of customers in multiple geographies, while processing and rendering large amount of data points.


  • B Tech / M Tech in Computer Engineering from a top tier university
  • 5+ years of professional experience in DevOps
  • Exceptional skills in Linux and C++/Python programming
  • Experience in Version Control Systems, Workflow Orchtestration and Testing Automation
  • Experience with Dockerization, Configuration Management and Monitoring
  • Knowledge of Container Orchestration tools such as Kubernetes
  • Knowledge in using popular MLOps frameworks like Kubeflow, MLFlow, and DataRobot
  • Knowledge of Database administration and management (SQL, PostgreSQL, GraphDB).
  • Knowledge of IT Security Management.
  • Excellent communication skills in English.


Competitive Salary, INR 15 - 24L per annum depending on the experience

+ Annual Training Budget