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

+ ESOPs