Amtex Systems Inc.
Hybrid - Sr Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hybrid - Sr Data Scientist, with a contract length of 6-12 months. Pay rate is competitive. Candidates should have 8+ years of Data Science experience, particularly in NLP and Generative AI, and strong Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #Python #Data Science #NLP (Natural Language Processing)
Role description
REMOTE - local to or willing to relocate to Raliegh, NC and work hybrid
Sr Data Scientist
Work can be REMOTE (EST/CST) but HYBRID in Raleigh, NC is preferred.
6-12 Months CTH
Locals/semi-local preferred; will consider relocation -
Required:
• 8+ years of relevant Data Science experince (background in NLP, moving into more of GenAI DS)
• Strong experience with production-grade ML systems at scale
• Strong LLM, GenerativeAI, RAG deployment experience (implementations, as well as evaluations)
• Experience following deployment lifecycle of product build and maintenance/new feature development)
• Experience working alongside ML engineers through product deployment
• Strong python background
REMOTE - local to or willing to relocate to Raliegh, NC and work hybrid
Sr Data Scientist
Work can be REMOTE (EST/CST) but HYBRID in Raleigh, NC is preferred.
6-12 Months CTH
Locals/semi-local preferred; will consider relocation -
Required:
• 8+ years of relevant Data Science experince (background in NLP, moving into more of GenAI DS)
• Strong experience with production-grade ML systems at scale
• Strong LLM, GenerativeAI, RAG deployment experience (implementations, as well as evaluations)
• Experience following deployment lifecycle of product build and maintenance/new feature development)
• Experience working alongside ML engineers through product deployment
• Strong python background
