Euclid Innovations
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Charlotte, NC, for 12 months, offering a pay rate of "unknown." Key skills include Python, ML frameworks (PyTorch, TensorFlow), model migration, and Vertex AI experience, with financial domain exposure preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
May 6, 2026
🕒 - Duration
More than 6 months
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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
Charlotte, NC
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🧠 - Skills detailed
#Python #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Model Validation #PyTorch #Migration #Deployment #TensorFlow #Data Science #Cloud #ML (Machine Learning)
Role description
ML Engineer / Applied Data Scientist
Charlotte, NC
12 Months
Role Summary
Refactor and migrate existing predictive models to Vertex AI, ensuring models function correctly post-migration with proper retraining and validation.
MUST-HAVE
• Strong Python + ML frameworks (PyTorch, TensorFlow, XGBoost)
• Experience with model migration / refactoring
• Hands-on with:
• Retraining & inference workflows
• Model validation (accuracy, drift)
• Experience with:
• Experiment tracking / versioning
• Vertex AI / GCP exposure (hands-on preferred)
GOOD TO HAVE
• Hybrid migration (on-prem → cloud)
• Model packaging / deployment experience
• Financial domain exposure
ML Engineer / Applied Data Scientist
Charlotte, NC
12 Months
Role Summary
Refactor and migrate existing predictive models to Vertex AI, ensuring models function correctly post-migration with proper retraining and validation.
MUST-HAVE
• Strong Python + ML frameworks (PyTorch, TensorFlow, XGBoost)
• Experience with model migration / refactoring
• Hands-on with:
• Retraining & inference workflows
• Model validation (accuracy, drift)
• Experience with:
• Experiment tracking / versioning
• Vertex AI / GCP exposure (hands-on preferred)
GOOD TO HAVE
• Hybrid migration (on-prem → cloud)
• Model packaging / deployment experience
• Financial domain exposure
