Hands on development and support of new or existing data applications.
Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design.
Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
Provide technical guidance to the team for implementing complex data solutions.
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
Requirements
Bachelor’s degree in computer science or related engineering field
Keysight is seeking a PhD intern to explore machine learning representations for variable electronic designs where the underlying structure can change across design points. The work extends beyond circuit topology to include physical layout, place-and-route structure, geometric relationships, connectivity, and design metadata.
Responsibilities
Design and prototype graph-based and structured data encodings for variable electronic designs spanning circuit topology, physical layout, and place-and-route information.
Represent design attributes such as component or block identity, type, parameters, connectivity, placement, routing, geometry, hierarchy, and relevant constraints.
Analyze existing fixed-structure assumptions in data pipelines and identify where they limit generalization to new circuits, layouts, or routing patterns.
Develop mapping and validation utilities between source design data, such as netlists, layout representations, placement/routing metadata, and model-ready inputs.
Integrate representation prototypes with graph learning, surrogate modeling, and design optimization workflows.
Liderar el proceso de enseñanza y aprendizaje de la asignatura de minería de datos de acuerdo con el modelo educativo institucional y el marco valórico.
Responsibilities
Liderar el proceso de enseñanza y aprendizaje de acuerdo con el modelo educativo
Movilizar formación y experiencia profesional, valores y conocimiento disciplinar
Senior Software Engineer responsible for building, developing, testing, and deploying scalable cloud-based applications and backend solutions on Microsoft Azure, including data ingestion pipelines and large‑scale data‑processing solutions.
Responsibilities
Build, develop, test, and deploy scalable applications and backend solutions on Microsoft Azure.
Build and optimize data ingestion pipelines and large-scale data-processing solutions using Python, PySpark, Apache Spark, Kafka, and Azure services.
Design event-driven architectures and integrations using APIs, REST services, and messaging technologies.
Develop and maintain Delta Lake solutions using medallion architecture.
Support integration with Databricks, SQL databases, and hybrid storage solutions.
Support the expansion of AI‑driven automation and tooling within the View of Risk team, building automated workflows, maintaining analytical pipelines, and running catastrophe models.
Responsibilities
Supporting the expansion of AI‑driven automation and tooling
Assisting in building automated workflows for catastrophe model evaluation
Helping to develop and maintain analytical pipelines and scripts
Preparing and processing data for model development
Supporting calibration, validation and documentation of catastrophe model changes
Requirements
Degree in a quantitative or natural science discipline
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