Responsibilities

• Design, develop, and implement AI use cases based on Microsoft Azure and Databricks.
• Build data pipelines for machine learning and generative AI applications, integrate and optimize them continually.
• Develop and deploy data products to support AI-powered business processes.
• Leverage Databricks Genie, Azure AI Services, and other Azure components to derive value from enterprise data.
• Analyze, prepare, and model structured and unstructured data.
• Collaborate with business units to identify, evaluate, and realize innovative AI use cases.
• Ensure data quality, scalability, and performance within the data platform.
• Support the definition of data governance, security, and compliance requirements.
• Advance PoCs and transition them into production.

Requirements

• Degree in computer science, information systems, data science, mathematics, or a related field.
• Several years of experience in data engineering, data science, or AI/ML.
• Strong knowledge of Microsoft Azure, especially Azure Data Services, Azure AI Services, and Azure Machine Learning.
• Experience with Databricks, Delta Lake, Spark, and ideally Databricks Genie.
• Proficiency in Python and SQL.
• Experience building data models, data pipelines, and data products.
• Nice to have: knowledge of machine learning, generative AI, and MLOps.
• Experience with CI/CD process

Responsibilities

• Design, develop, and implement AI use cases based on Microsoft Azure and Databricks.
• Build data pipelines for machine learning and generative AI applications, integrate and optimize them continually.
• Develop and deploy data products to support AI-powered business processes.
• Leverage Databricks Genie, Azure AI Services, and other Azure components to derive value from enterprise data.
• Analyze, prepare, and model structured and unstructured data.
• Collaborate with business units to identify, evaluate, and realize innovative AI use cases.
• Ensure data quality, scalability, and performance within the data platform.
• Support the definition of data governance, security, and compliance requirements.
• Advance PoCs and transition them into production.

Requirements

• Degree in computer science, information systems, data science, mathematics, or a related field.
• Several years of experience in data engineering, data science, or AI/ML.
• Strong knowledge of Microsoft Azure, especially Azure Data Services, Azure AI Services, and Azure Machine Learning.
• Experience with Databricks, Delta Lake, Spark, and ideally Databricks Genie.
• Proficiency in Python and SQL.
• Experience building data models, data pipelines, and data products.
• Nice to have: knowledge of machine learning, generative AI, and MLOps.
• Experience with CI/CD process

Правовое

• Конфиденциальность
• Условия
• Cookies

Правовое

• Конфиденциальность
• Условия
• Cookies