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Data Scientist Generative AI / Machine Learning

ICONMA, LLC

  • Charlotte, NC
  • 3 days ago
  • $57.14 Per Hour

Highlights

Responsibilities: Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, Machine Learning, and Deep Learning techniques. Develop predictive models, perform feature engineering, and validate model performance using industry best practices.

Numbers & Facts

LocationCharlotte, NC
Salary$57.14 Per Hour

Description

Our Client, an IT Services and Consultant company, is looking for a Data Scientist – Generative AI / Machine Learning for their Charlotte, NC location.
 
Responsibilities:
  • Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, Machine Learning, and Deep Learning techniques.
  • Build and evaluate Generative AI and LLM-based solutions to address business challenges and improve operational efficiency.
  • Analyze large and complex datasets using SQL across Oracle (On-Prem), GCP, and AWS environments.
  • Work closely 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 activities.
  • Stay current with emerging advancements in AI, Machine Learning, and Generative AI technologies.
 
Requirements:
  • Primary Skills
  • Strong foundation in Data Science, including:
  • Statistical Modeling
  • Machine Learning Algorithms
  • Deep Learning Techniques
  • Hands-on experience with Generative AI, Large Language Models (LLMs), and AI-driven solution development.
  • Strong SQL expertise with the ability to analyze and manipulate data in:
  • Oracle (On-Premises)
  • Google Cloud Platform (GCP)
  • Amazon Web Services (AWS)
  • Ability to independently solve complex business problems with minimal guidance.
  • Strong communication, presentation, and stakeholder management skills.
  • Secondary Skills
  • Understanding of MLOps concepts, workflows, and model lifecycle management.
  • Experience collaborating with MLOps teams for model deployment and monitoring activities.
  • Exposure to cloud-based data platforms and analytics ecosystems within GCP and AWS.
  • Years of Experience: 14.00 Years of Experience
 
Why Should You Apply?

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