R Systems

AI Manager

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Manager with a contract length of "unknown," offering a pay rate of "unknown." Requires 8+ years in management and ML/Data Science, with 4+ years in ML/NLP and LLM experience. Location is "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#Cloud #Data Science #Sentiment Analysis #Deep Learning #R #Automation #AI (Artificial Intelligence) #ML (Machine Learning) #NLP (Natural Language Processing)
Role description
About the Company R Systems is a global digital product engineering and technology services provider founded in 1993, focused on AI, cloud-native services, and analytics for industries like tech, telecom, and finance. A Blackstone portfolio company (as of 2023), it specializes in software engineering, automation, and digital platform development. About the Role Responsibilities • Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP No Less than 4 years in ML/NLP • Deep expertise in machine learning, deep learning, and NLP, with experience working on text data such as call transcripts, customer interactions, or reviews No Less than 4 years in ML/NLP • Proven track record of building and deploying production AI solutions, ideally in real-time or agent-assist environments • Experience leading or mentoring AI teams while remaining technically close to the work • Strong fit should be AI/ML-first; not primarily a software engineering manager or program manager background • Preferred experience in use cases such as auto summarization, sentiment analysis, next best offer/action, or agentic • 8+ years of management experience • 4+ years of LLM experience (fine-tuning, RAG, prompt engineering, agentic) • 8+ years of ML/Data Science Experience • Someone who has been delivering AI/ML models into production (no research but real industry experience) • Strong ability to mentor, builds teams, and drive technical vision • Great communication skills