Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, PyTorch, and deep learning concepts. Experience with cloud platforms is a bonus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #PyTorch #Deployment #ML (Machine Learning) #Python #AWS (Amazon Web Services) #Model Evaluation #Transformers #Data Science #Deep Learning #Cloud #Scala #Programming #"ETL (Extract #Transform #Load)" #Azure
Role description
Job Description:
We are looking for a Machine Learning Engineer with strong expertise in Python and PyTorch to develop, optimize, and deploy deep learning models. The ideal candidate will have hands-on experience in building production-ready ML solutions.
Responsibilities:
• Build, train, and deploy machine learning models using PyTorch.
• Write clean, efficient, and scalable code in Python.
• Optimize models for performance and scalability.
• Collaborate with data scientists and software engineers on end-to-end ML solutions.
Requirements:
• Strong programming skills in Python.
• Proven experience with PyTorch (model development & deployment).
• Solid understanding of deep learning concepts (CNNs, RNNs, Transformers, etc.).
• Familiarity with data preprocessing, model evaluation, and performance metrics.
• Bonus: Experience with cloud platforms (AWS, GCP, or Azure).
Job Description:
We are looking for a Machine Learning Engineer with strong expertise in Python and PyTorch to develop, optimize, and deploy deep learning models. The ideal candidate will have hands-on experience in building production-ready ML solutions.
Responsibilities:
• Build, train, and deploy machine learning models using PyTorch.
• Write clean, efficient, and scalable code in Python.
• Optimize models for performance and scalability.
• Collaborate with data scientists and software engineers on end-to-end ML solutions.
Requirements:
• Strong programming skills in Python.
• Proven experience with PyTorch (model development & deployment).
• Solid understanding of deep learning concepts (CNNs, RNNs, Transformers, etc.).
• Familiarity with data preprocessing, model evaluation, and performance metrics.
• Bonus: Experience with cloud platforms (AWS, GCP, or Azure).
