

Excelon Solutions
Data Scientist with GEN AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with GEN AI in Charlotte, NC, offering a hybrid work arrangement. The contract length is unspecified, with a pay rate of "unknown." Key skills include Generative AI, Machine Learning, and data analysis.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Reinforcement Learning #Deployment #Datasets #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #ML (Machine Learning) #Transformers #Data Science #Data Analysis #Monitoring #Scala
Role description
Data Scientist with GEN AI
Charlotte, NC (Local ONLY)
Remote work
Need F2F is required
Responsibilities:
• Develop and Implement Generative AI Models: Design, implement, and deploy state-of-the-art generative AI models (e. g., GANs, VAEs, Transformers, etc. ) to solve real-world problems.
• Data Analysis and Preprocessing: Collect, clean, and preprocess large datasets to train AI models effectively.
• Model Training & Evaluation: Train and fine-tune machine learning models, including supervised, unsupervised, and reinforcement learning algorithms, focusing on generative techniques.
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to identify opportunities and deliver AI-powered solutions.
• AI Research: Stay up-to-date with the latest research in Generative AI and contribute to the research community through publications or internal knowledge-sharing.
• Optimize and Scale AI Models: Enhance the scalability, performance, and reliability of generative AI systems deployed in production.
• Experimentation: Conduct rigorous experimentation to test and validate the performance of AI models, with a focus on improving model quality and accuracy.
• Tool Development: Develop tools for automating workflows around model training, validation, deployment, and monitoring.
• Ethics and Fairness: Ensure that AI models adhere to ethical guidelines and are built with fairness and transparency in mind.
Data Scientist with GEN AI
Charlotte, NC (Local ONLY)
Remote work
Need F2F is required
Responsibilities:
• Develop and Implement Generative AI Models: Design, implement, and deploy state-of-the-art generative AI models (e. g., GANs, VAEs, Transformers, etc. ) to solve real-world problems.
• Data Analysis and Preprocessing: Collect, clean, and preprocess large datasets to train AI models effectively.
• Model Training & Evaluation: Train and fine-tune machine learning models, including supervised, unsupervised, and reinforcement learning algorithms, focusing on generative techniques.
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to identify opportunities and deliver AI-powered solutions.
• AI Research: Stay up-to-date with the latest research in Generative AI and contribute to the research community through publications or internal knowledge-sharing.
• Optimize and Scale AI Models: Enhance the scalability, performance, and reliability of generative AI systems deployed in production.
• Experimentation: Conduct rigorous experimentation to test and validate the performance of AI models, with a focus on improving model quality and accuracy.
• Tool Development: Develop tools for automating workflows around model training, validation, deployment, and monitoring.
• Ethics and Fairness: Ensure that AI models adhere to ethical guidelines and are built with fairness and transparency in mind.






