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Senior Data Scientist (AI)

130 470$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (AI): Developing and deploying advanced statistical models and AI-driven solutions with an accent on generative AI, LLMs, and agentic systems. Focus on integrating large-scale datasets, optimizing machine learning pipelines, and collaborating with engineering teams to deliver actionable business insights.

Location: Kuala Lumpur, Malaysia

Salary: $130,470

Company

hirify.global is a global multi-line insurer that provides a wide range of property and casualty, and life insurance products and services.

What you will do

  • Collaborate with product and engineering teams to identify business needs and integrate new datasets.
  • Research and devise innovative statistical models, including advanced AI techniques like LLMs and Agentic AI.
  • Execute analytical experiments to solve complex problems across various domains.
  • Clean, validate, and mine large structured and unstructured datasets for business intelligence.
  • Implement analytical models and AI solutions into production environments.
  • Utilize Azure technologies to design, create, and deploy AI-based applications.

Requirements

  • 5+ years of experience in data science or a related field.
  • Advanced proficiency in pattern recognition, predictive modeling, and generative AI.
  • Hands-on experience with LLM frameworks such as Hugging Face, LangChain, and OpenAI APIs.
  • Strong programming skills in Python, R, and SQL.
  • Experience with cloud data frameworks, specifically Azure.
  • BSc/BA in Computer Science, Engineering, or a quantitative field.

Nice to have

  • Graduate degree in Data Science or a quantitative field.
  • Familiarity with agentic AI frameworks like AutoGPT or CrewAI.
  • Knowledge of Scala or Java.
  • Professional certifications in data science or cloud technologies.

Culture & Benefits

  • Optimistic work environment that encourages challenging the status quo.
  • Opportunities for internal career growth and mobility across business areas.
  • Focus on continuous learning and staying updated with industry developments.
  • Collaborative team environment with a research-oriented focus.

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