We are seeking a highly skilled Azure Data Scientist to join our innovative team and leverage cutting-edge Generative AI (Gen AI) and Large Language Models (LLMs) on the Microsoft Azure platform.
In this role, the ideal candidate will play a pivotal role in designing, developing, and deploying data pipelines and Gen AI/LLM models to unlock valuable insights and drive business transformation
Key Responsibilities:
• Design and implement robust data pipelines on Azure for efficient data ingestion, transformation, and delivery to Gen AI/LLM models.
• Develop and train Gen AI/LLM models using Azure Machine Learning services like Azure ML.
• Utilize expertise in prompt engineering to fine-tune LLMs for specific tasks and applications.
• Evaluate and monitor the performance of Gen AI/LLM models, identifying areas for improvement and optimization.
• Collaborate with data engineers, software developers, and business stakeholders to ensure models align with business needs.
• Stay current on the latest advancements in Gen AI/LLM research and development.
• Document and present findings in a clear and concise manner to both technical and non-technical audiences.
Required Skills:
• Ph.D. in Computer Science, Statistics, or a related field (or equivalent experience).
• 5 years of experience as a Data Scientist or similar role.
• Experience with Azure ML, Azure Data factory, Azure wasp services, Azure AI services, Python
• Experience with Open AI, Gen AI LLMs , Machine learning , Deep learning , NLP
• Proven experience in designing and implementing data pipelines on cloud platforms (Azure).
• In-depth knowledge of machine learning fundamentals and experience with deep learning frameworks.
• Strong understanding of Generative AI concepts and experience with Large Language Models (LLMs).
• Proficiency in programming languages like Python and familiarity with tools like PyTorch or TensorFlow.
• Excellent communication, collaboration, and problem-solving skills.
Preferred Skills:
• Experience with Azure Machine Learning services (Azure ML, Azure Data factory, Azure webapp services, and Azure AI services).
• Experience with cloud-based data storage solutions (Azure Data Lake Storage, Blob storage, Azure SQL).
Location: Brentwood, TN
Posted: Sept. 12, 2024, 6:25 a.m.
Apply Now Company Website