ML Ops Engineer

*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:

Bachelors or Masters degree in Computer Science Engineering Statistics or a related field.

Mandatory Required skills:

58 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.