Job Description
Title: MLOps Engineer- 12+ Years
Visas:: USC/GC
Location: Columbus, OH- Onsite
Need LinkedIn, VISA DL
Locals or within 50-60 miles
2 interview rounds Virtual
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our main priority is a MLOPs engineer, that will need to be local and come onsite in Columbus, OH, below are the day to day responsibilities. Azure Databricks is a must.
Role Overview:
Designs, builds, and maintains the ML Platform — a machine learning system built on Azure Databricks.
Day-to-Day Responsibilities:
- ML Pipeline Development & Maintenance – Builds and maintains PySpark-based training pipelines for 30-day and 90-day prediction models using Azure Databricks and MLflow for experiment tracking and model versioning.
- Model Retraining & Validation – Executes end-to-end model retraining cycles including out-of-time (OOT) validation, risk segment analysis, and threshold optimization (Youden's J).
- Feature Drift Monitoring – Monitors production feature health using PSI (Population Stability Index) calculations and SQL-based drift detection across Marketo, PIMS, and Genesys data sources.
- Data Pipeline Engineering – Develops and maintains Azure Data Factory (ADF) pipelines for data ingestion, backfill orchestration, and scoring workflows.
- Bug Investigation & RCA – Diagnoses and resolves critical production issues (data normalization bugs, race conditions, date logic errors) with formal root cause analysis documentation.
- Documentation & Reporting – Produces deployment guides, user stories (Azure DevOps), RCA reports, and management-facing PowerPoint summaries.
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NOTE: EXCELLENT COMMUNCATION SKILLS
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Kind Regards,
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Deep Patel
Sr. Technical Recruiter
ZealHire Inc.
14 Wall Street 20th Floor | New York, NY 10005

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