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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Структурированная стажировка в известной data-компании дает практику с Python и возможный опыт работы с LLM, но направление и задачи зависят от потребностей бизнеса.
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Hirify AI/Оригинал
TL;DR
Software Engineer (Python): Developing technology and data solutions through a university placement program with an accent on core Python programming, engineering practices, and analytical tools. Focus on building reproducible experiments, working with machine learning libraries, and exploring LLM APIs and retrieval-augmented agents.
Location: Dublin, Ireland; hybrid work with two days in the Sandyford office and three days from home. Candidates must be able to work in the Dublin office and be permanently eligible to work in Ireland.
Company
Dun & Bradstreet provides business decisioning data and analytics to help companies grow, manage risk, and innovate.
What you will do
Contribute to real business projects across technology processes, infrastructure, and applications.
Apply Python programming, data structures, functions, classes, and data and machine learning libraries.
Use engineering practices, Git, version control workflows, and reproducible experiments.
Analyze data with tools such as Excel and Power BI.
Depending on placement needs, work with LLM APIs, prompting, tool-using agents, or retrieval-augmented generation.
Requirements
Currently enrolled in a four-year accredited degree program and eligible to return after completing the placement; selected roles are open to Master's candidates.
Pursuing a degree in Computer Science, AI, Software Engineering, or a related technical field.
Strong Python skills, including core programming, data structures, functions, classes, and data and machine learning libraries.
Experience with engineering practices and communication.
Familiarity with Git, version control workflows, and reproducible experiments, including notebooks and environment management.
Strong analytical skills using tools such as Excel and Power BI.
Permanently eligible to work in Ireland and able to work from the Dublin office.
Nice to have
Experience with LLMs and agentic skills, including calling LLM APIs, writing effective prompts, and building a simple tool-using or retrieval-augmented agent.
Basic understanding of LLM limitations such as context windows and hallucinations.
Culture & Benefits
Full-time 2027 university placement aligned with the university placement duration.
Hybrid schedule: in-office Tuesday, Wednesday, or Thursday, with work from home on the other three days, including Monday and Friday.
Hands-on learning and exposure to real business projects.
Career development opportunities including meetings with executive leaders, networking socials, and community volunteer events.
Placement opportunities may span multiple technology functional areas based on business needs and candidate interests.
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