21 час назад
Data Scientist (AI / LLM Applications)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI / LLM Applications) (LLMs and AI agents): Building practical AI applications and end-to-end pipelines that automate internal workflows across operations, HR, and internal tools with an accent on production deployment, RAG systems, and agentic frameworks. Focus on designing data-to-production pipelines, experimenting with prompting strategies, and integrating vector databases and LLM orchestration tools.
Location: Jakarta, Indonesia
Company
is a fintech company building intelligent AI-powered systems for internal tools and business processes.
What you will do
- Build and prototype AI applications using Large Language Models and AI agents.
- Design and deploy end-to-end AI pipelines from data preparation through production systems.
- Develop AI applications and agents that automate workflows across operations, HR, and internal tools.
- Experiment with prompting strategies, RAG systems, agentic frameworks, and modern AI tooling.
- Collaborate with engineers, product teams, and business stakeholders to translate business problems into AI solutions.
Requirements
- At least 2 years of relevant experience in data science, machine learning, or AI development.
- Proficiency in Python.
- Experience building AI or machine learning applications and deploying them to production.
- Familiarity with Large Language Models and modern AI application patterns.
Nice to have
- Experience building LLM-powered chatbots, AI assistants, or agent-based systems.
- Familiarity with RAG, vector databases, and LLM orchestration frameworks such as LangChain, Google ADK, or OpenAI Agents.
- Experience using FastAPI, Streamlit, or similar frameworks to build and deploy AI applications.
Culture & Benefits
- Full-time position working with engineers, product teams, and business stakeholders.
- Hands-on environment focused on moving quickly from experimentation to production.
- Opportunity to develop AI applications for internal operations, HR, and business tools.
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