Jobs via Dice
AI MLOps Platform/DevOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI MLOps Platform/DevOps Engineer with a long-term contract to hire, 100% remote. Key skills required include ML observability tools, data drift detection, containerization, CI/CD, production support, and proficiency in Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 17, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Prometheus #Docker #AI (Artificial Intelligence) #Grafana #Kubernetes #Python #DevOps #MLflow #Monitoring #Dynatrace #Observability #Automation #ML (Machine Learning)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, PY DATA, INC., is seeking the following. Apply via Dice today!
Position: AI MLOps Platform/DevOps Engineer 4 Openings
Location: Long term - Contract to hire (CTH)
Duration: 100% Remote
Only W2 Consultants
Must Have Skills
• Experience with ML observability tools (Dynatrace, MLflow, EvidentlyAI, Prometheus, Grafana, etc.).
• Strong understanding of data drift detection and statistical monitoring.
• Hands-on with containerization (Docker/Kubernetes) and CI/CD pipelines.
• Experience in production support and AI monitoring.
• Proficient in Python for automation and monitoring scripts.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, PY DATA, INC., is seeking the following. Apply via Dice today!
Position: AI MLOps Platform/DevOps Engineer 4 Openings
Location: Long term - Contract to hire (CTH)
Duration: 100% Remote
Only W2 Consultants
Must Have Skills
• Experience with ML observability tools (Dynatrace, MLflow, EvidentlyAI, Prometheus, Grafana, etc.).
• Strong understanding of data drift detection and statistical monitoring.
• Hands-on with containerization (Docker/Kubernetes) and CI/CD pipelines.
• Experience in production support and AI monitoring.
• Proficient in Python for automation and monitoring scripts.
