Jobs via Dice
GenAI Engineer - Contract - Redmond, WA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer on a contract basis in Redmond, WA, offering a competitive pay rate. Key skills include Machine Learning, Generative AI, Python, R, and cloud-scale platforms. Experience in A/B testing and statistical modeling is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 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) #Spark (Apache Spark) #Scala #PySpark #R #Cloud #Python #A/B Testing #ML (Machine Learning)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Vy Systems, is seeking the following. Apply via Dice today!
JD:
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.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Vy Systems, is seeking the following. Apply via Dice today!
JD:
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.
