Description

You will design and implement scalable, secure Azure cloud solutions focused on machine learning workflows.

Responsibilities

• Design and implement ML models, deployment pipelines, and job scheduling using unstructured data.
• Architect end-to-end data solutions using Azure Data Factory, Databricks, Data Lake, Delta Lake, and Azure Synapse Analytics.
• Configure microservices using Docker and Kubernetes on Azure Databricks.
• Design and optimize LLM and natural language processing (NLP) systems, frameworks, and tools.
• Implement Azure AI services including Databricks and Azure Cognitive Services.

Required Skills

• 5+ years of experience in cloud-based data and ML engineering.
• Databricks ML Expert level certification.
• Proficiency in Python, Scala, and SQL.
• Hands-on experience with PySpark and Azure Synapse.
• Experience with Azure Data Factory (ADF) and Azure Data Lake.
• Experience with Azure AI services and Azure Cognitive Services.
• Practical knowledge of Docker and Kubernetes for microservices.
• Experience working with Azure OpenAI services.
• Knowledge of LLM and NLP system optimization.

Preferred Skills

• Experience with Azure OpenAI service implementation.

Key Skills

Education

Any Graduate