[Full time/Intern] AI Data Engineer

Job updated 4 months ago
Actively Reviewing Resumes

Job Description

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively.

This person must be comfortable working with a team of top-notch developers and collaborating with our business team.

We want people who innovate and love solving hard problems.

 Key responsibilities:
- Fine tune and optimize LLM's
- Building and maintaining data pipeline including data processing and data analytics
- Developing and maintaining efficient and scalable crawler to extract data
- Fine tune and optimize models


Key Characteristics:
- You like math, modelization and Artificial Intelligence (from machine learning to deep-learning)
- You' re willing to get involved in a team with big ambition: build a real commercialize product, iterate fast and have fun
- You are a fast learner, curious and analytical

Technical Skills:
- Python developer and proficient in SQL
- Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Understanding of modern NLP techniques (e.g., Word2Vec, Seq2Seq, BERT, NER)
- Familiar with the data scraping

Nice to have"
- Experience with machine learning algorithm and statistical methods
- Experience in version control system, e.g. Git
- Experience with any cloud platform, e.g. AWS, GCP

No requirement for relevant working experience
30,000 ~ 99,999 TWD / month
Optional Remote Work
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About us

SparkAmplify團隊的基本服務是一個以 Machine Learning 的技術進行大數據分析的全球市場行銷 SaaS (Software as a Service) 平台,提供分析資料的技術以利公司為新產品打造精準的海外網路社群行銷 (Influencer Marketing) 和媒體曝光。可以幫助新創團隊和海外專業人士、媒體記者以及對該行業有高度認知的受眾建立起溝通,以減少新創在行銷方面缺失的人員找尋和推播工作。


而來自於專業人員/媒體宣傳所帶來的正面效益和流量增長顯然成為當中的最佳方式,至於如何能精準的推送給這部分受眾,SparkAmplify 看到了這個問題,讓你不再仰賴傳統PR公司,可以透過 SparkAmplify 的服務快速進軍海外市場並攻佔目標客群的心。

SparkAmplify 不僅在國內表現亮眼,在國外更是表現突出,2017年二月我們受邀請參加由Google贊助的 Startup Grind 全球新創企業展,此展是矽谷新創團隊的年度超級盛事。SparkAmplify 從 6,000位來自全球 80個國家,遍及世上 200座城市的申請者中,脫穎而出,進入前五十強 。



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30K ~ 99.99K TWD / month