VySystems
GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Machine Learning, Python, R, PySpark, and cloud-scale data platforms. Experience in developing LLM-based models and strong problem-solving abilities are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - 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
Redmond, WA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #R #ML (Machine Learning) #Spark (Apache Spark) #PySpark #Cloud #A/B Testing #Python #Scala
Role description
• Data & Applied Scientist with strong expertise in Machine Learning, Generative AI, and Statistical Modeling to design and deploy scalable AI solutions.
• The role involves developing LLM-based models, retrieval systems, and GNNs, optimizing pipelines for real-time production, and conducting A/B testing and metric analysis to drive measurable business impact.
• The ideal candidate will bring hands-on skills in Python, R, PySpark, and cloud-scale data platforms, with a proven ability to translate research into practical, high-performance solutions.
• Strong problem-solving, experimentation, and cross-functional collaboration skills are essential.
• Data & Applied Scientist with strong expertise in Machine Learning, Generative AI, and Statistical Modeling to design and deploy scalable AI solutions.
• The role involves developing LLM-based models, retrieval systems, and GNNs, optimizing pipelines for real-time production, and conducting A/B testing and metric analysis to drive measurable business impact.
• The ideal candidate will bring hands-on skills in Python, R, PySpark, and cloud-scale data platforms, with a proven ability to translate research into practical, high-performance solutions.
• Strong problem-solving, experimentation, and cross-functional collaboration skills are essential.
