ML/OPS Engineer – IV
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML/OPS Engineer – IV, hybrid in Miramar, FL or Dallas, TX, for 1 year at a competitive pay rate. Requires expertise in model pipelines, orchestration, cloud platforms, and performance optimization.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Automation #Databricks #Grafana #ML (Machine Learning) #Monitoring #Cloud #AI (Artificial Intelligence) #MLflow #AWS SageMaker #SageMaker #Kubernetes #Airflow #AWS (Amazon Web Services) #Docker
Role description
Job Title: ML/OPS Engineer – IV
Location: Hybrid – Miramar, FL or Dallas, TX
Duration: 1 Year | Temp Only
We are seeking an experienced ML/OPS Engineer to join our client’s team. In this role, you’ll be responsible for building, scaling, automating, and orchestrating model pipelines to support cutting-edge AI/ML initiatives.
Key Skills & Tech Stack:
• Model Pipelines: MLFlow, AutoML, MosaicML, Seldon
• Orchestration & Automation: Airflow, Docker, Kubernetes, Helm (or similar)
• Cloud & Data Platforms: AWS SageMaker, Databricks
• Monitoring & Feature Stores: Grafana (or similar), Tecton (or similar)
• Performance & Optimization: CUDA (or similar)
Job Title: ML/OPS Engineer – IV
Location: Hybrid – Miramar, FL or Dallas, TX
Duration: 1 Year | Temp Only
We are seeking an experienced ML/OPS Engineer to join our client’s team. In this role, you’ll be responsible for building, scaling, automating, and orchestrating model pipelines to support cutting-edge AI/ML initiatives.
Key Skills & Tech Stack:
• Model Pipelines: MLFlow, AutoML, MosaicML, Seldon
• Orchestration & Automation: Airflow, Docker, Kubernetes, Helm (or similar)
• Cloud & Data Platforms: AWS SageMaker, Databricks
• Monitoring & Feature Stores: Grafana (or similar), Tecton (or similar)
• Performance & Optimization: CUDA (or similar)
