Xforia Global Talent & Technology Solutions

AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 5+ years of relevant experience, focusing on deploying models using Streamlit and React. Contract length is unspecified, with a pay rate of "unknown." Work is on-site in Austin, requiring skills in Snowflake, Python, and Tableau.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 12, 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
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Automation #Streamlit #Process Automation #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Monitoring #Snowflake #Data Science #React #Data Pipeline #Deployment #"ETL (Extract #Transform #Load)" #Tableau
Role description
About the Role AI engineer who has experience in deploying models and hosting them on UI like streamline, react and monitoring them and making any necessary changes. Work with business users to troubleshoot the issues. The individual will work three days per week from the Austin office. Experience: • 5+ years of relevant experience in the required technologies and 10+ years of overall IT experience. Skills: • Snowflake and Data pipelines • Python • AI/ML and Advanced Analytics • Building and deployment AI agents on UI (Streamlit, react) • Tableau Responsibilities: • AI engineer who has experience in deploying models and hosting them on UI like streamline, react and monitoring them and making any necessary changes. • Work with business users to troubleshot the issues. • The individual will work three days per week from the Austin office. • Responsibilities include developing ETL pipelines, designing Snowflake data structures, creating Tableau reports, and identifying process automation opportunities using Python. • The candidate will work closely with the Operations team, as well as data scientists and software engineers, on Python-based applications, machine learning models, and optimization solutions that support both development and operational activities. • The candidate will also collaborate with business teams to understand reporting requirements and build the corresponding data science pipelines.