Job Requirements
Proficiency in Python programming
Strong knowledge of SQL
Bonus: Experience with Google Cloud Platform and BigQuery
Experience developing APIs using Python
Bonus: Familiarity with FastAPI
Prior experience collaborating with AI or Data Science teams in the development of models, pipelines, or tooling
Bachelor’s degree in Computer Science or a related technical field
Bonus qualifications:
Experience with MongoDB
Experience developing APIs for or integrating with large language models (LLMs) such as OpenAI, Claude, or DeepSeek
Here are the job responsibilities:
Coordinate between Engineering, Product Management, and AI Applications teams to ensure monthly operational processes are followed and any issues are promptly identified and resolved
Assist in the development, integration, and maintenance of internal APIs used by the engineering team
Provide IT support for the AI Applications team, including managing team hardware and other technical resources
Support the AI Applications team with additional tasks as needed, including process improvements and cross-functional collaboration
Use MongoDB and Python scripts to verify the accuracy and reliability of model predictions and system outputs
Contribute to the development of APIs for integrating with external LLM providers (e.g., OpenAI, Klaude, Deepseek) to enhance AI-powered functionalities
Ability to work in a fast-paced environment, manage shifting priorities, and proactively solve issues across technical and organizational boundaries
Required:
● Master degree or above in computer science, data science, computational linguistics, or a related field.
● At least two years of solid experience in developing and deploying machine learning models and algorithms.
● Preferably proficient in Python.
● Strong understanding of machine learning algorithms and statistical techniques.
● Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
● Excellent communication and collaboration skills to work effectively with cross-functional teams.
● Able to communicate in English.
Good to have:
● Familiarity with big data processing technologies such as Hadoop, Spark, or SQL.
● Comfortable working in a startup environment.
● Familiarity with influencer marketing.
作為一家成長中的新創公司，CreatorDB 擁有高度的抱負
■ 並為員工提供全面的培訓和指導，協助員工在職涯上取得成功。
■ 更人性化的上下班時間 週一至週四 10:00 - 18:00 週五 10:00 - 16:30。
■ 到職即享有80個小時的特休。
■ 台灣+西方的國定假日(2024年加總約莫31日的休假)
As a growing startup, CreatorDB is highly ambitious.
■ Provides comprehensive training and guidance to help employees succeed in their careers.
■ More flexible working hours: Monday to Thursday, 10:00 AM - 6:00 PM; Friday, 10:00 AM - 4:30 PM.
■ 80 hours of paid leave upon onboarding.
■ Taiwan + Western public holidays (a total of approximately 31 days off in 2024).
