MLOps Engineer

Actively Reviewing the Applications

MOURI Tech Foundation

India, Telangana, Hyderabad Full-Time

Posted 5 days ago • Apply by June 17, 2026

Job Description

Description

Role Summary :

MOUTIech is seeking a ML Ops Engineer to build and operate the platform, tooling, and automation that enable reliable delivery of machine learning solutions.

This role is responsible for scalable pipelines, secure deployments, and monitoring to ensure models perform well in production and meet enterprise standards.

Key Responsibilities

ML Platform & Pipelines :

Design and implement end-to-end ML pipelines for training, validation, packaging, and deployment.
Create reusable templates and tooling for experimentation, feature consumption, and model lifecycle management.

CI/CD & Release Engineering

Build CI/CD for ML (tests, quality gates, approvals) using Azure DevOps/GitHub Actions.
Manage model registry, artifact versioning, and environment reproducibility.

Deployment, Monitoring & Reliability

Implement batch and real-time serving patterns; automate monitoring for drift, performance, and data quality.
Establish SLOs/SLAs for ML services; lead incident response and root-cause analysis for ML production issues.

Cloud & Security

Operate ML infrastructure on Azure (preferred), including compute, networking, IAM, and secrets management.
Apply governance : access controls, auditability, and compliance requirements.

Mandatory Required Skills

6+ years of experience in ML Ops, DevOps, Data Engineering. Data Science, or related roles.
Hands-on experience with Azure ML and/or Databricks, MLflow, and asset bundles.
Kubernetes and orchestration experience; familiarity with model serving frameworks.
Strong Python and SQL skills; experience with automated testing and observability.
Experience with monitoring/alerting (e.g., Azure Monitor, Prometheus/Grafana).

Desired Skills