Azure Data Engineer
2 months ago
Sigmaways Inc is seeking a highly skilled Senior Data Scientist to lead the development of cutting-edge data pipelines and Generative AI/LLM models on the Microsoft Azure platform.
This role requires a strong background in machine learning, deep learning, and natural language processing, with a focus on designing and implementing robust data pipelines on Azure for efficient data ingestion, transformation, and delivery to Gen AI/LLM models.
The ideal candidate will have a Ph.D. in Computer Science, Statistics, or a related field, and a minimum of 5 years of experience as a Data Scientist or similar role. They will be proficient in programming languages like Python and familiar with tools like PyTorch or TensorFlow.
Responsibilities:
- Design and implement 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.
Preferred Qualifications:
- 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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