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This working student role involves supporting data platform and business analytics initiatives, including maintaining dashboards, processing tickets, and creating training materials.
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…
The AI Engineer will design and build AI solutions, manage data pipelines, and implement LLMOps and agentic workflows. The role involves creating backend services, ensuring system observability, and optimizing data platforms.
- 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 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.
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.
The AI Engineer will work in the Data Innovation Lab to build, deploy, and optimize machine learning models and software services. The role focuses on infrastructure abstraction, production deployment, and ensuring the reliability and performance of AI applications.
The Lead Data Scientist at Faculty will oversee end-to-end delivery of production machine learning solutions, set technical direction, and mentor team members. The role involves advising clients on technical solutions and collaborating across engineering and infrastructure teams.
As a Senior Machine Learning Engineer at Faculty, you will design and deploy production-grade ML software and scalable infrastructure while advising customers on technical strategy and mentoring junior team members.
The Enterprise AI Solutions Consultant is responsible for prospecting high-value accounts, managing sales pipelines, and closing deals for AI data solutions. The role involves articulating complex AI concepts to executive stakeholders and collaborating with technical teams to ensure successful delivery.
The Enterprise AI Solutions Consultant is responsible for driving sales of generative AI services, data collection, and annotation solutions to enterprise clients. The role involves managing the full sales cycle, from prospecting and pipeline management to closing deals and coordinating with technical teams.
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