
AI Data Scientist
Responsibilities
- Adjust language models that have already been trained for generative AI applications Ensure that the LLMs and pipelines based on LLMs are tuned and released. 
- Create and implement LLMs for various content creation jobs. 
- Develop and communicate roadmaps for data science projects. 
- Design effective agile workflows and manage a cycle of deliverables that meet timeline and resource constraints. 
- Serve as a bridge between stakeholders and AI suppliers to facilitate seamless communication and understanding of project requirements. 
- Work closely with external AI suppliers to ensure alignment between project goals and technological capabilities. 
- Identify and gather data sets necessary for AI projects. 
- Prior experience in Machine Learning, Deep Learning, and AI algorithm to solve respective business cases and pain points. 
- Prior hands-on experience in data-mining techniques to better understand each pain point and provide insights. 
- Able to design and conduct analysis to support product & channel improvement and development. 
- Present key findings and recommendations to business counter parties and senior management on project approach and strategic planning. 
Qualifications
- Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field 
- Native Thai speaker & fluent in English 
- 3+ years of proven experience as a Data Scientist with a focus on project management (Retail or E-Commerce business is preferable) 
- At least 2+ years of relevant experience as an LLM Data Scientist Experience in SQL and Python (Pandas, Numpy, SparkSQL) 
- Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources 
- Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick 
- Experience in machine learning and deep learning (Tensorflow, Keras, Scikit-learn) 
- Good Knowledge of Statistics 
- Experience in Data Visualization (Tableau, PowerBI) is a plus 
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders 
- Having good attitude toward team working and willing to work hard