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Azure Data Scientist
4 months ago
Job Description :
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 of skills required :
- Azure Databricks, Azure ML, Azure Data factory, Azure webapp services, Azure AI services, python.
- OpenAI, GenAI LLMs, Machine learning, Deep learning, NLP.
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 Databricks and 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 :
- Ph. D . in Computer Science, Statistics, or a related field (or equivalent experience).
- Minimum of 5 years of experience as a Data Scientist or similar role.
- 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 Databricks, Azure ML, Azure Data factory ,Azure we bapp services, Azure AI services).
- Experience with cloud-based data storage solutions (Azure Data Lake Storage, Blob storage, AzureSQL).
- Experience with natural language Experience with model interpretability and fairness considerations.
- Experience in deploying models in to production environments.