WorkGenius Group
MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer in Morrisville, NC, with a contract length of "unknown." Requires a Bachelor’s/Master’s in Computer Science, 5+ years in MLOps, and 4+ years on GPU clusters. Key skills include CI/CD, data engineering, and automation. Pay rate is experience-based.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
856
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Morrisville, NC
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🧠 - Skills detailed
#DevOps #Observability #ML (Machine Learning) #Scala #Automation #Data Ingestion #Data Engineering #Data Lineage #Computer Science
Role description
Title: MLOps Engineer
Industry: Technology
Location: Morrisville, NC
Responsibilities
• Architect and implement a scalable MLOps Control Plane including model registry and governance.
• Develop and maintain a standardized Data Adapter SDK to unify data ingestion.
• Build CI/CD pipelines for model distillation and retraining triggered by drift.
• Implement data lineage tracking and automated drift detection.
• Design and operate multi-model serving infrastructure with dynamic routing.
Requirements
• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years in production MLOps or large-scale DevOps roles.
• 4+ years operating ML workloads on GPU-based clusters.
• Strong software engineering skills with a focus on reliability and automation.
• Hands-on experience with model registries, workflow orchestration, and CI/CD for ML.
Skills
• MLOps
• DevOps
• CI/CD
• Data Engineering
• GPU Infrastructure
• Model Serving
• Automation
• Observability
• High-Performance Networking
• Distributed Systems
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
ref\_id: a228df84-6228-4781-8343-e0eab20f4435
Title: MLOps Engineer
Industry: Technology
Location: Morrisville, NC
Responsibilities
• Architect and implement a scalable MLOps Control Plane including model registry and governance.
• Develop and maintain a standardized Data Adapter SDK to unify data ingestion.
• Build CI/CD pipelines for model distillation and retraining triggered by drift.
• Implement data lineage tracking and automated drift detection.
• Design and operate multi-model serving infrastructure with dynamic routing.
Requirements
• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years in production MLOps or large-scale DevOps roles.
• 4+ years operating ML workloads on GPU-based clusters.
• Strong software engineering skills with a focus on reliability and automation.
• Hands-on experience with model registries, workflow orchestration, and CI/CD for ML.
Skills
• MLOps
• DevOps
• CI/CD
• Data Engineering
• GPU Infrastructure
• Model Serving
• Automation
• Observability
• High-Performance Networking
• Distributed Systems
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
ref\_id: a228df84-6228-4781-8343-e0eab20f4435
