TechStar Group
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Columbus, OH, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AI experience (Agentic and traditional), orchestration tools, programming, and cloud (AWS/Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 19, 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
Columbus, Ohio Metropolitan Area
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🧠 - Skills detailed
#Cloud #Programming #ML (Machine Learning) #DevOps #AWS (Amazon Web Services) #Azure #AI (Artificial Intelligence) #Agile #Data Engineering #Scrum #Business Analysis #Langchain #API (Application Programming Interface)
Role description
Sr ML Engineer
Columbus, OH
The Sr. ML Engineer is responsible for system analysis, design, development and testing for their assigned technical product(s) or application(s), within the context of an agile/DevOps delivery model. In addition, they will extend their DevOps responsibilities to take on Operations topics and may also fill the Agile delivery roles of Business Analyst and Scrum Master.
o AI Engineer – AI development, Agentic AI – building agents underlining components – MCP.
o Traditional AI – building models provided data sets, integrating the models into existing applications.
o Managing projects – tasks with minimal support
Required Skills:
• AI experience: Agentic AI and traditional AI are required for this role.
• Enterprise with orchestration tools example n8n
• Strong programming + AI Solution design
• AI Framworks: LangChain, LangGraph, Agent Core
• ML lifecycle + data engineering
• API and system integration
• Cloud (AWS / Azure AI stack)
Sr ML Engineer
Columbus, OH
The Sr. ML Engineer is responsible for system analysis, design, development and testing for their assigned technical product(s) or application(s), within the context of an agile/DevOps delivery model. In addition, they will extend their DevOps responsibilities to take on Operations topics and may also fill the Agile delivery roles of Business Analyst and Scrum Master.
o AI Engineer – AI development, Agentic AI – building agents underlining components – MCP.
o Traditional AI – building models provided data sets, integrating the models into existing applications.
o Managing projects – tasks with minimal support
Required Skills:
• AI experience: Agentic AI and traditional AI are required for this role.
• Enterprise with orchestration tools example n8n
• Strong programming + AI Solution design
• AI Framworks: LangChain, LangGraph, Agent Core
• ML lifecycle + data engineering
• API and system integration
• Cloud (AWS / Azure AI stack)
