ML Ops Engineer ( 5-8 YRS Exp)

ADV TECHMINDS PVT LTD; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Hilton Grand Vacations seeks a ML Ops Engineer to build and run scalable ML platforms, tooling, and automation for reliable production delivery of machine learning models.

You will design end-to-end pipelines, manage deployments, and ensure observability and security in production environments. 5–8+ years of relevant experience and strong Azure/Databricks skills are required. Hyderabad onsite.

Qualifications

• 5–8+ years in ML Ops/DevOps/Data Engineering roles.
• Hands-on with Azure ML and/or Databricks, MLflow, and asset bundles.
• Kubernetes and orchestration experience; familiarity with model serving frameworks.
• Strong Python and SQL skills; automated testing and observability.
• Experience with monitoring/alerting (Azure Monitor, Prometheus/Grafana).

Responsibilities

• Design end-to-end ML pipelines for training, validation, packaging, and deployment.
• Create reusable templates and tooling for experiment tracking, feature consumption, and model lifecycle management.
• Build CI/CD for ML (tests, quality gates, approvals) using Azure DevOps/GitHub Actions.
• Manage model registry, artifact versioning, and environment reproducibility.
• Implement batch and real-time serving, and automate monitoring for drift and data quality.
• Establish SLOs/SLAs for ML services; lead incident response and root-cause analysis.
• Operate ML infra on Azure (compute, networking, IAM, secrets).

Skills

Azure ML

Databricks

MLflow

Kubernetes

Python

SQL

Monitoring/Observability

Education

Bachelor's or Master's in CS/Engineering/Statistics

Tools

Databricks

MLflow

Kubernetes

Terraform

Job description

• MLOps Engineer* – 5 to 8+ years of experience,

• MLOps Engineer* – 5 to 8+ years of experience,

Immediate Joiner / Notice Period up to 15 days

Work Mode: Onsite

Location: Hyderabad

• Position Title:* ML Ops Engineer

Role Summary:

Hilton Grand Vacations (HGV) 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.

Work Hours and Location: Must be willing to work from the Hyderabad office on Eastern Standard Time Zone

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.

Technical Qualifications Needed:

Education:

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.

Mandatory Required skills:

• 5–8+ 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:

• Infrastructure-as-Code (Terraform/Bicep) and policy-as-code experience.
• Experience with feature stores and data quality frameworks.
• Experience supporting regulated data environments and security reviews.

*Certifications*

Azure DevOps Engineer Expert, Azure Data Engineer Associate, or similar certifications preferred.