Azure Data Scientist

4 weeks ago

Hyderabad, India Comtek Solution Full time

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.

(ref:hirist.tech)

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