Machine Learning & Artificial Intelligence Professional

Roles and Responsibilities

• Develop and maintain data processing and machine learning pipelines using Python and PySpark
• Build, train, and deploy models using Azure ML Studio
• Design and implement data engineering and analytics solutions using Databricks
• Work with large-scale datasets using Spark-based technologies
• Implement and maintain CI/CD pipelines to support automated builds, testing, and deployments
• Collaborate with cross-functional teams to design scalable and efficient data solutions
• Troubleshoot and optimize data pipelines and workflows for performance and reliability
• Maintain technical documentation and follow best practices for code quality and version control

Job Requirements

• Strong proficiency in Python and PySpark
• Hands-on experience with Azure ML Studio and Databricks
• Solid understanding of big data technologies, especially Apache ...