DataOps/MLOps Lead: Build Reliable AI Pipelines on Azure

OpenKrill; United States; Remote; USD 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health insurance

Dental & Vision benefits

401(k) with company match

Paid time off

Zusammenfassung

Protective Life is transforming its software delivery with a product operating model and a data/ML platform focus. The DataOps/MLOps Lead will own the platform, set standards, mentor engineers, and ensure reliable, secure, auditable data and ML services in a regulated insurance environment.

You will standardize Dagster orchestration, automate governance, and propel CI/CD across pipelines on Databricks Lakehouse on Azure, driving cost efficiency and reliability.

Qualifikationen

• 8+ years in data, ML, or platform engineering or SRE/DevOps, with production data/ML systems.
• Demonstrated technical leadership: setting standards, building automation, mentoring engineers.
• Strong CI/CD expertise with Azure DevOps and Git workflows.
• Hands-on orchestration with Dagster or equivalent; Databricks/Delta Lake stack.
• MLOps experience: MLflow, model registry, deployment, monitoring, retraining automation.
• Cloud admin on Azure; Infrastructure-as-code with Terraform.
• Strong Python and SQL for automation.
• Experience with observability, SLAs/SLOs, and secure handling of data.

Aufgaben

• Own the DataOps/MLOps platform and operating model and the tooling for pipelines and models.
• Lead CI/CD standards and pipelines for data pipelines and ML models in Azure DevOps.
• Standardize Dagster orchestration and ensure run observability across pipelines.
• Operationalize ingestion and transformation stacks with automated testing and safe deployments.
• Build MLOps foundations including model registry, deployment, monitoring, and retraining triggers.
• Establish data/model observability with freshness, quality, lineage, latency, drift, and cost metrics.

Kenntnisse

DataOps leadership

ML platform engineering

CI/CD with Azure DevOps

Dagster orchestration

Databricks Lakehouse

Python

SQL

Terraform

Security & compliance

Ausbildung

Bachelor's degree in CS or related field

Tools

Dagster

Databricks

Azure DevOps

Terraform

MLflow

Jobbeschreibung

Protective Life is transforming its software delivery with a product operating model and a data/ML platform focus. The DataOps/MLOps Lead will own the platform, set standards, mentor engineers, and ensure reliable, secure, auditable data and ML services in a regulated insurance environment.

You will standardize Dagster orchestration, automate governance, and propel CI/CD across pipelines on Databricks Lakehouse on Azure, driving cost efficiency and reliability.