Associate Ai Engineer – Connected Insights | - [Z-33]

Associate Ai Engineer – Connected Insights | - [Z-33]
Empresa:

Astrazeneca


Detalles de la oferta

Introduction to Role: Join our high-profile, bespoke data & AI service, Connected Insights, and play a pivotal role in redefining how competitive intelligence is created, disseminated, and consumed across AstraZeneca. We are seeking a talented and motivated Associate AI Engineer with knowledge graph experience to join our team. In this role, you will be responsible for leveraging your strong Python skills to contribute to the development and maintenance of our Neo4j graph database, and mining unstructured data to extract entities and associated relationships. This is your chance to power the business to have a bigger impact on patients' lives!
Accountabilities:As an Associate AI Engineer, you will be responsible for:
Developing and maintaining our Neo4j graph database, mining unstructured data to extract entities and associated relationships.Collaborating with in-house competitive intelligence professionals, integrating key external and internal data sources, generating complex interactive information, and transforming how our teams create and share insights.Collaborating with the team to design, build, and maintain data pipelines for efficient data processing for structured and unstructured data (documents, images) and integration with the Neo4j graph database.Modeling domain knowledge and data into appropriate graph models using LPG (Label Property Graph) techniques.Collaborating with AI engineers to explore and mine unstructured data sources, such as text, images, video and other non-tabular data formats.Contributing to the development of algorithms and workflows to extract, transform, and load unstructured data into structured formats for integration with the knowledge graph and AI models.Engaging in cross-functional collaboration with data scientists, software engineers, and other team members to support the integration of AI models with the knowledge graph.Contributing towards scaling and making AI solutions production-ready using MLOps best practices and tooling.Building deployment automation pipelines using GitHub Actions to deploy artefacts (Code, AWS Services, ML Models etc).Assisting in designing monitoring and observability integrations for the AI Solutions to ensure model accuracy and performance.Utilising your strong Python skills to develop and implement algorithms, scripts, and tools for data manipulation, analysis, and integration with the Neo4j graph database.Documenting your work, including code, processes, and best practices, and contributing to regular progress reporting.
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Fuente: Jobleads

Requisitos

Associate Ai Engineer – Connected Insights | - [Z-33]
Empresa:

Astrazeneca


Ingeniero/A Técnico/A Proyectista Mecánico/A | Hx-792

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