RED Global
AI/ ML Engineer Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with 3+ years of experience, expert Python skills, and a degree in a quantitative field. It offers a 6-month remote contract, with a pay rate of "unknown" and potential for extension.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 15, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Regression #SciPy #NumPy #Computer Science #Pandas #Libraries #Statistics #Keras #Classification #Consulting #Data Science #Python #PyTorch #Clustering #ML (Machine Learning) #Deep Learning #TensorFlow
Role description
RED is currently seeking an AI Engineer for an initial 6-month contract with one of our global consulting clients. This project will be full remote and likely to extend.
Suitable Candidates will have the following skills:
• 3+ years of professional experience as an AI Engineer, Machine Learning Engineer, or Data Scientist
• Expert-level proficiency in Python, including libraries such as scikit-learn, pandas, NumPy, SciPy
• Strong theoretical and practical understanding of various supervised and unsupervised machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
• Bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related quantitative field
• Excellent written and oral communication skills
RED is currently seeking an AI Engineer for an initial 6-month contract with one of our global consulting clients. This project will be full remote and likely to extend.
Suitable Candidates will have the following skills:
• 3+ years of professional experience as an AI Engineer, Machine Learning Engineer, or Data Scientist
• Expert-level proficiency in Python, including libraries such as scikit-learn, pandas, NumPy, SciPy
• Strong theoretical and practical understanding of various supervised and unsupervised machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
• Bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related quantitative field
• Excellent written and oral communication skills
