MLops Engineer

Role Overview

We are seeking a highly skilled MLOps Engineer (5-10 years experience) to sit at the intersection of Data Science and Enterprise Operations — architecting, deploying, and optimizing production-grade machine learning pipelines that drive measurable improvements in our organization's MLOps maturity. This is a high-impact, technically demanding role that blends hands-on ML model development with advanced cloud infrastructure orchestration, automation engineering, and cross-functional enablement.

 

Core Technology Stack

Category

Tools & Platforms

ML Platforms

GCP Vertex AI AWS SageMaker Azure ML Studio

Orchestration

Apache Airflow Kubeflow

Containerization & IaC

Docker Kubernetes Terraform

Languages

Python Bash

AI/LLM Ecosystem

LangChain RAG Frameworks Vector Databases