Generative AI Data Scientist – ML, LLMs & Business Insights

Maganti IT Resources, LLC; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Maganti IT Resources, LLC is seeking a Data Scientist with Generative AI expertise to join our team in Charlotte, NC. The role combines traditional data science with cutting-edge AI techniques to deliver scalable data-driven solutions.

You will work closely with stakeholders to translate business problems into predictive models, leverage SQL across Oracle, GCP, and AWS, and collaborate with MLOps for deployment and monitoring. Strong communication required.

Qualifications

• Strong foundation in Data Science including statistical modeling, ML, and DL.
• Hands-on Generative AI and LLM experience.
• Strong SQL expertise and experience with AWS.

Responsibilities

• Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, ML, and DL.
• Build and evaluate Generative AI and LLM-based solutions to address business challenges and improve operational efficiency.
• Analyze large datasets using SQL across Oracle (On-Prem), GCP, and AWS environments.
• Collaborate with business stakeholders to understand requirements, define objectives, and deliver actionable insights.
• Develop predictive models, perform feature engineering, and validate model performance using industry best practices.
• Collaborate with Data Engineering and MLOps teams to support model deployment and operationalization.

Skills

Statistical Modeling

Machine Learning

Generative AI

LLMs

SQL

AWS

Stakeholder management

Tools

Oracle (On-Prem)

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Job description

Maganti IT Resources, LLC is seeking a Data Scientist with Generative AI expertise to join our team in Charlotte, NC. The role combines traditional data science with cutting-edge AI techniques to deliver scalable data-driven solutions.

You will work closely with stakeholders to translate business problems into predictive models, leverage SQL across Oracle, GCP, and AWS, and collaborate with MLOps for deployment and monitoring. Strong communication required.