Job Description

Stafflevel MLOps Engineer

Position Overview

We are seeking a Stafflevel MLOps Engineer to architect, build, and operationalize the deep learning platform for largescale computer vision systems. This role is ideal for someone who can work independently, define technical direction, and build endtoend ML pipelines from the ground up.

You will be responsible for the full lifecycle of ML systems data ingestion, training, deployment, monitoring, observability, and ongoing operations while collaborating closely with deep learning researchers, software engineers, and product teams.

This Staff engineer will act as a technical authority, mentor other engineers, and establish engineering excellence across the org.

Remote Visual Inspection (RVI) systems enable highprecision, noncontact inspection of critical industrial components using advanced imaging, optics, and AIdriven analytics. In this role,



you will help shape the next generation of intelligent inspection capabilities by architecting the machine learning platform that powers automated defect detection and measurement in challenging environments. You will build the endtoend infrastructure that enables largescale ingestion, training, deployment, and monitoring of computer vision models used in highspeed visual inspection workflows. This position combines deep expertise in MLOps, cloud platforms, and computer vision systems to ensure that inspection models are reliable, scalable, and continuously improving ultimately enabling accurate, realtime evaluation of assets using cuttingedge camera and sensor technologies.

Responsibilities MLOps Platform Ownership (Stafflevel)
- Define and own the overall MLOps architecture for deep learning systems across the organization.
- Design and implement endtoend ML pipelines for data ingestion, training, validation, deployment, and monitoring.
- Build and maintain CI/CD pipelines for automated model training, evaluation, and deployment.
- Establish model serving inf

📌 MLOps Engineer (Bengaluru)
🏢 Wabtec
📍 Bengaluru