11 дней назад
AI Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Analyst (GenAI/LLM): Building and evaluating AI-driven solutions through data analysis, model monitoring, agent development, and data pipeline preparation with an accent on Python, SQL, retrieval-augmented generation, and enterprise AI platforms. Focus on designing AI agents, evaluating LLM outputs, tracking model drift and token usage, and translating business requirements into AI product features.
Location: Onsite in Pasir Gudang, Johor Bahru, Malaysia
Company
provides precision robotics, integrated automation systems, and contamination control solutions for semiconductor manufacturing.
What you will do
- Query, clean, transform, and analyze data from multiple sources using Python and SQL.
- Build reusable scripts, notebooks, data pipelines, and reporting workflows.
- Prepare features, run experiments, evaluate models, and monitor model performance, drift, errors, and token usage.
- Develop GenAI and LLM use cases, including prompt-based summarization, question answering, classification, and output evaluation.
- Design integrated AI agents for reporting, data queries, alerts, and other automated workflows using tools such as function calling, chains, and orchestration platforms.
- Collaborate with business and AI teams to translate requirements into AI solutions, roadmaps, and value cases.
Requirements
- 3–5 years of experience in data analytics, ML, or AI, including at least 1 year in agentic AI design and development.
- Advanced Python skills and end-to-end experience analyzing datasets with standard libraries such as pandas, NumPy, and scikit-learn.
- Experience with GenAI tools such as Claude, OpenAI ChatGPT, Cursor, Claude Code, Codex, Microsoft Copilot, Fabric Data Agents, or Azure AI Foundry.
- Experience building and integrating AI agents with AWS Bedrock, Azure, or Copilot, including Microsoft Copilot, Azure AI Foundry, Microsoft Fabric, and OneLake-connected data assets.
- Strong knowledge of data warehouses, particularly AWS Redshift and/or Azure Foundry.
- Ability to explain analytical results clearly and collaborate with business and AI stakeholders.
Culture & Benefits
- Collaborative and engaging work environment within a semiconductor automation organization.
- Work arrangements may include in-office and remote options depending on the role and business needs; this role is designated onsite.
- Equal-opportunity workplace committed to diversity and inclusion.
- Workplace accommodations are available for applicants with disabilities.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →