DeepRec.ai
AI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer on a contract basis, fully remote for European candidates, paying €300 - €325 per day. Key skills include Python, Snowflake, and machine learning frameworks. Experience in data pipelines and model deployment is required.
🌎 - Country
United States
💱 - Currency
€ EUR
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💰 - Day rate
325
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Deployment #AI (Artificial Intelligence) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Pipeline #Datasets #Snowpark #Scala #Data Engineering #ML (Machine Learning) #Data Processing #Data Lake #Data Ingestion #Python #Snowflake #Azure #SnowPipe #Monitoring #Model Deployment #Data Quality #Triggers #Cloud
Role description
AI Data Engineer – Python, Snowflake & Machine Learning (Contract, Remote)
We’re looking for an experienced AI Data Engineer to build scalable data pipelines and deploy production-ready machine learning solutions within a modern cloud data platform.
The role:
Own end-to-end data and ML workflows, from ingestion and transformation through to model deployment and monitoring, with a focus on reliability and scalability in Snowflake and Python.
What you’ll be doing
• Build and maintain data ingestion pipelines into Snowflake (structured and time-series data)
• Prepare ML-ready datasets (feature engineering, aggregations, train/test splits)
• Develop, train, and deploy ML models using Python (scikit-learn, XGBoost, LightGBM)
• Operationalise ML workflows in Snowflake using Snowpark
• Write model outputs back to Snowflake for downstream use
• Monitor pipelines and models, including data quality checks and retraining triggers
Technical environment
• Snowflake (SQL, Streams, Tasks, Snowpipe)
• Python for data engineering and ML (including Snowpark)
• ML frameworks: scikit-learn, XGBoost, LightGBM
• Time-series data processing (desirable)
• Azure Data Lake / Microsoft Fabric (nice to have)
Contract details
• Initial contract with strong extension potential
• Fully remote (Has to be European based)
• €300 - €325 Per Day
AI Data Engineer – Python, Snowflake & Machine Learning (Contract, Remote)
We’re looking for an experienced AI Data Engineer to build scalable data pipelines and deploy production-ready machine learning solutions within a modern cloud data platform.
The role:
Own end-to-end data and ML workflows, from ingestion and transformation through to model deployment and monitoring, with a focus on reliability and scalability in Snowflake and Python.
What you’ll be doing
• Build and maintain data ingestion pipelines into Snowflake (structured and time-series data)
• Prepare ML-ready datasets (feature engineering, aggregations, train/test splits)
• Develop, train, and deploy ML models using Python (scikit-learn, XGBoost, LightGBM)
• Operationalise ML workflows in Snowflake using Snowpark
• Write model outputs back to Snowflake for downstream use
• Monitor pipelines and models, including data quality checks and retraining triggers
Technical environment
• Snowflake (SQL, Streams, Tasks, Snowpipe)
• Python for data engineering and ML (including Snowpark)
• ML frameworks: scikit-learn, XGBoost, LightGBM
• Time-series data processing (desirable)
• Azure Data Lake / Microsoft Fabric (nice to have)
Contract details
• Initial contract with strong extension potential
• Fully remote (Has to be European based)
• €300 - €325 Per Day
