Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include AI, Python, deep learning frameworks, NLP solutions, API services, and DevOps tools. Industry experience in big data is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 20, 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
Miramar, FL
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🧠 - Skills detailed
#Big Data #Flask #Python #Data Science #Deep Learning #Docker #API (Application Programming Interface) #TensorFlow #Keras #Clustering #GitLab #Programming #NLP (Natural Language Processing) #Regression #PyTorch #AI (Artificial Intelligence) #DevOps
Role description
Required skill ;
• Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies
• Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval -Augmented Generation (RAG) enabled solutions
• Experience in working with API services for serving NLP and analytical models, including Flask or Fast API
• Experience with DevOps Tools, including Docker, K8s, or Gitlab CI/CD
• Knowledge of AI-enabled systems
• Knowledge of AI concepts, including clustering, regression, algorithm selection, and evaluation
• Ability to address unbounded technical issues and problem solve
Required skill ;
• Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies
• Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval -Augmented Generation (RAG) enabled solutions
• Experience in working with API services for serving NLP and analytical models, including Flask or Fast API
• Experience with DevOps Tools, including Docker, K8s, or Gitlab CI/CD
• Knowledge of AI-enabled systems
• Knowledge of AI concepts, including clustering, regression, algorithm selection, and evaluation
• Ability to address unbounded technical issues and problem solve
