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This student role involves analyzing user and business data to support decision-making, developing dashboards, and improving data processes. The position requires collaboration with product and data science teams while utilizing AI tools for analytics workflows.
The Data Governance Specialist develops and implements enterprise data governance frameworks, policies, and standards to ensure data quality, privacy, and regulatory compliance. The role involves managing metadata, facilitating stakeholder workshops, and monitoring policy adherence across the organization.
As an AI Engineer at Saegus, you will design, develop, and deploy generative AI and machine learning solutions, focusing on RAG systems and MLOps to move prototypes into production. You will work closely with business and data teams to implement high-impact AI applications.
This working student role involves supporting data platform and business analytics initiatives, including maintaining dashboards, processing tickets, and creating training materials.
Senior Data Engineer building data pipelines, ETL/ELT processes, and data warehouse solutions; collaborating with analytics/eng teams to ensure data quality and maintain code.
Lead a data science and data engineering organization focused on optimizing large language models, ranking models, and personalization systems for an e-commerce platform, while communicating strategic recommendations to C-suite and running experimentation.
Summer 2027 data analytics internship at Banco Popular focused on processing and validating data, applying analytics methods, visualizing results, and presenting findings to stakeholders to solve business problems.
- Assess bias and fairness - Build and operate classical machine learning models - Contribute to AI governance - Define PoC scope and hypotheses - Deliver AI proof-of-concept - Deploy and monitor production data…
- Conduct continuing education and training lessons - Deliver consultancy work - Deliver courses - Develop curriculum - Develop industry collaborations - Handle programme administration - Identify industry…
The Software Embedded & BSP Engineer is responsible for developing, maintaining, and debugging Board Support Packages (BSPs) and device drivers. The role involves performing board bring-up, participating in hardware schematic reviews, and resolving complex hardware/software integration issues.
The Data Analyst will analyze qualitative and quantitative customer feedback to derive actionable insights, utilizing large language models for topic modeling and statistical methods to measure significance.
The Senior AI Engineer will design, develop, and deploy AI solutions for land transport, including generative and agentic AI systems. The role involves leading AI projects, managing governance, and collaborating across teams to uplift AI capabilities.
The Data Science AI Engineer will design, train, and deploy AI solutions, including Agentic AI workflows and RAG architectures, while ensuring compliance with healthcare regulations. The role focuses on optimizing model performance, implementing MLOps/LLMOps, and automating workflows.
The Full Stack AI Engineer will build production-grade web applications, dashboards, and data pipelines while developing agentic AI workflows and implementing search and retrieval services for the Singapore Public Service.
Senior System Analyst administering Oracle Hyperion/Essbase FP&A EPM platforms, building Power BI dashboards and Excel-based reporting, and implementing AI-driven automation for financial planning processes.
An analyst focused on e-commerce fraud prevention—administering fraud platforms, building risk scoring models and dashboards, investigating account takeover and payment fraud, and managing chargebacks for Kmart Australia.
The Backend Team Leader for the Data Platform will architect and optimize data ingestion, enrichment, and storage pipelines while leading a team of engineers. The role focuses on building real-time streaming systems and championing GenAI adoption within the software development lifecycle.
The MDAO Engineer will automate and optimize multidisciplinary design workflows for air vehicles, utilizing CAD modeling, sensitivity analysis, and AI solutions to improve design efficiency.
The Lead Software Engineer will design and develop shared data platforms, core services, and reusable frameworks while optimizing database performance and ensuring data security. This role involves leading design reviews, mentoring team members, and establishing governance for data access and disaster recovery.
The Lead Machine Learning Engineer will design and maintain scalable ML systems while setting technical direction and mentoring engineering teams. This role involves building shared ML resources, managing project roadmaps, and providing technical coaching to customers.
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