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# Principal Data Scientist

- **Company:** VDart, Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Software, Data Normalization, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Pytorch, Large Language Models, Generative AI, Information Technology, HuggingFace, Machine Learning Operations, Virtual Agents
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/jobad/usdc259478d6308dcf0b8d0539f726935b

## About the Role

* Experience: 11+ years of experience building machine learning models or developing algorithms for business applications.
 * Education: Bachelor's degree (Master's or PhD preferred) in engineering, statistics, computer science, mathematics, or a highly quantitative field.
 * Technical Stack: Deep expertise in Python and major ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and experience with MLOps platforms like Amazon SageMaker.
 * Consulting & Communication: Demonstrated success in leading large-scale technical programs, translating business needs to code, and serving as a trusted advisor., * Specialization: Deep proficiency in Large Language Model (LLM) fundamentals, optimization of model execution in production, or Agentic AI.
 * Domain Expertise: 3+ years of IT or management consulting experience.
 * Thought Leadership: Demonstrated impact through peer-reviewed publications, patents, or top-tier conference presentations.

## Description

* Technical Strategy & Architecture: Design, architect, and implement complex, enterprise-scale AI/ML and Generative AI solutions tailored to specific customer outcomes.
 * Customer Leadership: Collaborate with C-level executives and enterprise teams to develop business cases, establish technical standards, and drive innovation.
 * Thought Leadership: Build reusable solution frameworks and reference architectures to accelerate customer adoption of AWS AI/ML services.
 * Mentorship & Development: Provide technical mentorship to junior data scientists and contribute to the overall growth of AWS's AI/ML capabilities.
 * Project Execution: Oversee ML projects from end to end-from data aggregation and exploration to model deployment and concept-drift monitoring.


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