InfoVision Inc.
Data Science Architect (MLOps & API Performance Analytics)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Architect (MLOps & API Performance Analytics) based in Denver, CO, for a long-term contract. Key skills include Data Science, DevOps/MLOps, API performance analytics, and predictive modeling. Experience in data engineering and visualization is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#Strategy #ML (Machine Learning) #Data Engineering #Scala #Data Science #DevOps #Visualization #API (Application Programming Interface)
Role description
Job Title: Data Science Architect (MLOps & API Performance Analytics)
Location: Denver, CO
Duration: Long-term
About the Role:
We’re seeking a Senior Software Engineer/Architect with deep experience in Data Science, DevOps/MLOps, and Data Visualization, with an added focus on API performance tracking, analytics, troubleshooting, predictive reliability, and pattern identification.
In this senior role, you will:
• Architect and deliver scalable, production‑grade data and ML solutions
• Lead cross‑functional initiatives to improve system and API reliability
• Build predictive models that forecast failures before they occur
• Guide teams through complex troubleshooting and performance optimization
• Influence technical strategy and engineering standards across the organization
You will partner with backend engineering, SRE, data engineering, and product teams to deliver high‑impact, data‑driven improvements to stability and performance.
Job Title: Data Science Architect (MLOps & API Performance Analytics)
Location: Denver, CO
Duration: Long-term
About the Role:
We’re seeking a Senior Software Engineer/Architect with deep experience in Data Science, DevOps/MLOps, and Data Visualization, with an added focus on API performance tracking, analytics, troubleshooting, predictive reliability, and pattern identification.
In this senior role, you will:
• Architect and deliver scalable, production‑grade data and ML solutions
• Lead cross‑functional initiatives to improve system and API reliability
• Build predictive models that forecast failures before they occur
• Guide teams through complex troubleshooting and performance optimization
• Influence technical strategy and engineering standards across the organization
You will partner with backend engineering, SRE, data engineering, and product teams to deliver high‑impact, data‑driven improvements to stability and performance.
