AI Data Scientist Manager

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.

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.