Talent Groups
AI/ML Solution Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Solution Architect with a contract length of "unknown" and a pay rate of "unknown." Key skills include AI/ML frameworks, data platforms, and CPG domain experience, requiring 15+ years of IT experience and advanced analytics design expertise.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
November 8, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Compliance #Keras #Data Science #TensorFlow #Azure #Computer Science #BI (Business Intelligence) #Microsoft Power BI #ML (Machine Learning) #PyTorch #Synapse #Snowflake #Visualization #Dataiku
Role description
Qualifications & Experience:
• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
• Deep expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
• Hands-on knowledge of data platforms: Snowflake, Dataiku, Azure Data Services.
• Experience defining AI governance, model lifecycle, and compliance standards.
• Proven ability to lead cross-functional global teams and manage enterprise-scale architecture programs.
• Strong understanding of CPG domain processes and data-driven decision systems.
Preferred Skills:
• Exposure to Snowflake’s advanced AI capabilities (Feature Store, Model Registry, Cortex AI).
• Experience integrating AI systems with Power BI, Azure Synapse, or custom visualization tools.
• Understanding of MLOps concepts to effectively partner with operational teams.
Qualifications & Experience:
• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
• Deep expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
• Hands-on knowledge of data platforms: Snowflake, Dataiku, Azure Data Services.
• Experience defining AI governance, model lifecycle, and compliance standards.
• Proven ability to lead cross-functional global teams and manage enterprise-scale architecture programs.
• Strong understanding of CPG domain processes and data-driven decision systems.
Preferred Skills:
• Exposure to Snowflake’s advanced AI capabilities (Feature Store, Model Registry, Cortex AI).
• Experience integrating AI systems with Power BI, Azure Synapse, or custom visualization tools.
• Understanding of MLOps concepts to effectively partner with operational teams.
