Data Scientist Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist Technical Architect in Santa Clara, CA, for 12 months, offering a pay rate of "unknown." Requires a Bachelor's degree, 10+ years in enterprise architecture, and 5+ years designing AI/ML workflows using Azure services.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 5, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Santa Clara County, CA
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🧠 - Skills detailed
#Computer Science #NLU (Natural Language Understanding) #Documentation #Data Science #Azure #ML (Machine Learning) #NLP (Natural Language Processing) #Scala #AI (Artificial Intelligence)
Role description
Our client seeks an Data Scientist Technical Architect for a 12 Months) project in Santa Clara, CA . Below is the detailed requirement Title: Data Scientist Technical Architect Location : Santa Clara, CA Duration: 12 Months Job Description: β€’ Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 15+ Minimum Experience β€’ 10+ years in enterprise architecture. Primary (Must have skills): β€’ 5+ years of experience in designing scalable AI/ML workflows using Azure services (Azure AI, Cognitive Services, Machine Learning, OpenAI, Cognitive Search). β€’ 2+ years of experience in integrating AI assistants into enterprise apps β€’ Practical experience in speech recognition, TTS (Text-to-Speech), NLP/NLU (e.g., Azure Speech Services, Dialogflow, or custom LLM solutions). β€’ Deep knowledge of voice AI architectures, speech-to-text (STT), text-to-speech (TTS), conversational design, and integration with Azure Communication Services or Cognitive Speech APIs. β€’ Deep expertise in Azure, AI/ML, and containerized environments including Voice related projects β€’ Strong documentation and presentation skills β€’ Deep expertise in Azure, AI/ML, and containerized environments including Voice related projects