Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer, long-term contract, onsite, requiring expertise in machine learning, deep learning, NLP, and AI model deployment. Key skills include Python, TensorFlow/PyTorch, and cloud platforms (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Datasets #Deployment #AWS (Amazon Web Services) #PyTorch #Scala #Python #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #NLP (Natural Language Processing) #Model Deployment #ML (Machine Learning) #Azure #Deep Learning #Cloud #TensorFlow
Role description
Role: AI Engineer
Location: Multiple Locations (Onsite)
Duration: Longterm
Description
We are seeking an experienced AI Engineer to design, develop, and implement artificial intelligence solutions. The ideal candidate will have strong skills in machine learning, deep learning, natural language processing (NLP), and AI model deployment. Responsibilities include building scalable AI models, working with large datasets, and collaborating with cross-functional teams to integrate AI into business applications. Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS, Azure, or GCP) is essential.
Role: AI Engineer
Location: Multiple Locations (Onsite)
Duration: Longterm
Description
We are seeking an experienced AI Engineer to design, develop, and implement artificial intelligence solutions. The ideal candidate will have strong skills in machine learning, deep learning, natural language processing (NLP), and AI model deployment. Responsibilities include building scalable AI models, working with large datasets, and collaborating with cross-functional teams to integrate AI into business applications. Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS, Azure, or GCP) is essential.
