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).
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