Global Applications Solution

AI/ML Snowflake Architect- IoT Predictive Analytics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Snowflake Architect specializing in IoT Predictive Analytics, remote in Birmingham, AL, on a C2C/W2 basis. Requires 5+ years in AI/ML, 3+ years in a lead role, and expertise in Snowflake and data science.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 9, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Birmingham, AL
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🧠 - Skills detailed
#Mathematics #"ETL (Extract #Transform #Load)" #Data Warehouse #Data Science #AI (Artificial Intelligence) #ML (Machine Learning) #Snowflake #Anomaly Detection #Cloud #Forecasting #IoT (Internet of Things) #SnowPipe #Snowpark #Computer Science
Role description
Job : AI/ML Snowflake Architect-IoT Predictive Analytics Location: Birmingham, AL (Remote)(Milestone Basis travel, expenses paid) Type: C2C/W2 Job Description: Role Overview We are seeking a highly specialized and hands-on AI/ML Snowflake Architect with a strong background in Data Science (ML) to lead the design and implementation of our real-time and predictive analytics platform for Internet of Things (IoT) devices. This senior role is a critical blend of Data Scientist and Cloud Architect, focusing on leveraging the full power of Snowflake (including Snowpark, Snowpipe, and Snowflake Cortex) to ingest, transform, analyze, and build production-ready machine learning models on massive, high-velocity, and diverse IoT sensor data. The ideal candidate will be a deep technical expert capable of designing the end-to-end data and MLOps architecture for use cases such as predictive maintenance, anomaly detection, and time-series forecasting. Experience β€’ Master’s/Bachelor’s degree or PhD in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field. β€’ Minimum 5+ years of professional experience in an AI/ML or Data Science role. β€’ Minimum 3+ years in a Lead Architect or Principal Data Scientist role, specifically architecting solutions on a major cloud data warehouse (Snowflake preferred).