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Senior Data Scientist (Generative AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Generative AI): Developing analytical models, machine learning solutions, and AI-based applications for data products with an accent on LLMs, agentic AI, statistical modeling, and large-scale data mining. Focus on fine-tuning and deploying language models, integrating Azure AI technologies, and solving complex automation, knowledge extraction, and conversational AI challenges.

Location: Kuala Lumpur, Malaysia

Company

hirify.global develops insurance systems and solutions powered by data, analytics, and AI.

What you will do

  • Collaborate with product design, engineering, software development, and IT teams to define needs and build data products.
  • Identify, collect, integrate, clean, and validate large structured and unstructured datasets.
  • Design and execute analytical experiments, statistical models, machine learning solutions, and predictive models.
  • Develop, fine-tune, and deploy LLMs and agentic AI systems for automation, knowledge extraction, and conversational AI.
  • Use Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to create and deploy AI applications.
  • Analyze trends and patterns and communicate actionable findings to stakeholders.

Requirements

  • At least five years of experience in data science or equivalent proven experience.
  • Advanced experience in pattern recognition, predictive modeling, generative AI, LLMs, and transformers.
  • Hands-on experience with Hugging Face Transformers, LangChain, OpenAI APIs, or comparable LLM frameworks.
  • Knowledge of machine learning, deep learning, operations research, data mining, and strong mathematical methods.
  • Programming experience with R, SQL, and Python; familiarity with Scala and Java.
  • Experience with BI and data technologies such as Power BI, Azure, AWS, Hadoop, and relational database management systems, plus a relevant bachelor's degree.

Nice to have

  • Graduate degree in Data Science or another quantitative field.
  • Professional certification.
  • Experience with agentic AI frameworks such as AutoGPT, BabyAGI, or CrewAI.

Culture & Benefits

  • Research-oriented environment with multiple concurrent projects.
  • Opportunities to grow across different business areas and pursue internal career development.
  • Collaborative work with product, engineering, software development, and IT specialists.

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