8 дней назад
Frost & Sullivan MetaBrain Early Careers Program – AI Solution Architecture Internship (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architecture Internship (AI): Building tested decision-intelligence software for MetaBrain by connecting research, knowledge structures, data, reasoning workflows, and client-facing experiences with an accent on applied AI, structured knowledge, and trustworthy engineering. Focus on translating business decisions into testable architectures, evaluating retrieval and orchestration designs, and preparing reusable interfaces, automated tests, and deployment documentation.
Location: Singapore
Paid internship with a stipend; preferably six months, with a possible extension up to 12 months depending on performance, academic arrangements, and work authorization.
Company
Frost & Sullivan provides research, advisory, consulting, technology, AI, data, and business services through global teams.
What you will do
- Join business-problem discovery and document users, decisions, alternatives, constraints, success measures, acceptance tests, and scoped backlogs.
- Design structured knowledge representations and retrieval grounded in approved sources.
- Connect model outputs to deterministic calculations, APIs, and tools through constrained workflows with human-review points.
- Evaluate retrieval and orchestration designs using factual support, task completion, latency, operating cost, failure handling, and access-boundary metrics.
- Create configuration schemas, interfaces, automated tests, architecture records, handover documentation, deployment assumptions, and observability materials.
- Contribute to advisor Design/Tuning and client Advisory/Simulation experiences while explaining architecture choices to business and engineering mentors.
Requirements
- Currently pursuing or holding a Master's or PhD in AI, machine learning, computer science, data science, or a closely related field with substantial AI work.
- Strong Python, APIs, data structures, and software-engineering fundamentals.
- One demonstrable end-to-end AI prototype or research implementation with clear individual contribution.
- Ability to explain how a model supports a business decision.
- Academic projects, theses, and reproducible research implementations are accepted; prior full-time employment or production experience is not required.
Nice to have
- Knowledge of knowledge graphs, information retrieval, agent workflows, enterprise integration, cloud services, user-experience design, or applied business projects.
- Research, consulting, or advisory experience.
Culture & Benefits
- Paid internship with a preferred six-month duration.
- Possible extension up to 12 months based on performance and eligibility.
- Potential full-time conversion depends on assessed performance, a suitable vacancy, and eligibility; conversion is not guaranteed.
- Work alongside industry researchers, advisors, and engineers on reusable decision-intelligence software.
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