Data Engineering

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure services.
• Build and optimize ETL/ELT workflows to support analytics and machine learning use cases.
• Ensure data quality, integrity, and security across all data pipelines and storage layers.
• Contribute to data modeling, data warehousing, and data integration initiatives.
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AI Engineering

• Design/Develop complex solutions for AI‑driven applications, including LLM‑based systems.
• Deploy, operationalize, and maintain AI/ML models in production environments.
• Build cloud infrastructure for Machine Learning and AI workloads, with a focus on scalable, secure, and automated operations.
• Integrate front‑end and back‑end systems with ML frameworks via APIs.

• Bachelor’s degree or equivalent training in Computer Science or a related IT field.
• Relevant professional experience in Data Engineering, AI Engineering, or both.
• Strong programming skills in Python, SQL, and Spark.
• Hands‑on experience with Azure services (ADF, Databricks, Azure SQL, etc.).
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing.
• Confident use of machine learning and AI tools in Python, including cloud‑based ML/LLM frameworks.
• Strong knowledge of ML/AI methods and infrastructure for deployment and operation (Docker, Kubernetes, MLflow, vector databases, etc.).
• Excellent communication, consulting skills, and ability to work with stakeholders at all levels.
• Fluent English.
• Willingness to travel for project‑related activities.