Data Scientist Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist Specialist (AI): Researching and developing innovative statistical models and generative AI solutions, including LLMs and Agentic AI, with an accent on delivering actionable business insights. Focus on deploying AI-based applications using Azure technologies and creating autonomous agent systems for knowledge extraction and automation.
Location: Kuala Lumpur, Malaysia
Company
is a global insurance provider that leverages insightful data to power its systems and business solutions.
What you will do
- Develop and research innovative statistical models, incorporating advanced AI techniques such as LLMs and Agentic AI.
- Collaborate with product design and engineering teams to identify and integrate new datasets into product capabilities.
- Implement and deploy machine learning and generative AI solutions into production using Azure Cognitive Technologies and Azure Machine Learning.
- Execute analytical experiments and data mining on large structured and unstructured datasets to solve complex business problems.
- Communicate data-driven findings to stakeholders to enable smarter business processes.
- Stay updated on advancements in prompt engineering and autonomous agent systems.
Requirements
- 3+ years of experience in data science or a proven track record in the field.
- Advanced expertise in pattern recognition, predictive modeling, and generative AI (transformers, LLMs).
- Hands-on experience with LLM frameworks such as LangChain, Hugging Face Transformers, and OpenAI APIs.
- Familiarity with agentic AI frameworks like CrewAI, AutoGPT, or BabyAGI.
- Proficiency in Python, SQL, and R; familiarity with Java or Scala is a plus.
- Experience with Azure, AWS, or Hadoop and BI tools like Power BI.
- BSc/BA in Computer Science, Engineering, or a quantitative field; a graduate degree is preferred.
Culture & Benefits
- Culture that encourages thinking outside the box and challenging the status quo.
- Optimistic work environment focused on potential and growth.
- Wide range of internal opportunities for career advancement across various business areas.
- Focus on continuous professional growth and learning.
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