Machine Learning Engineer

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Job updated alrededor de 1 mes ago

Descripción del trabajo

Machine Learning Engineer 在 Gogolook 將負責利用資料分析及機器學習進行內部資料的探索,你可以盡情展現你的專業技能,提供決策建議,協助團隊解決各種有挑戰性的問題。此外也會需要和團隊其他職能一起協同 co-work。
加入團隊後的主要任務:
1. With business requirements, collect logs, extract features, and build machine learning models
2. Feature engineering for machine learning
3. A product mindset - ask and address the most important analytical questions with a view on enhancing product impact

Requisitos

1. 3+ years of experience in one or more of the following areas: recommendation systems, machine learning, data mining or artificial intelligence
2. Advanced SQL skills and/or other query DSL
3. Experience with common analysis tools - SQL, R, and Python
4. Experience in one or more of the Big Data related technologies, such as Hadoop, Hive, Spark, ElasticSearch, MySQL, MongoDB, HBase, Presto, etc
5. Experience in working with cloud service such as AWS, GCP
6. Experience with machine learning and deep learning framework, such as Scikit-learn, TensorFlow, PyTorch, etc
7. A solid understanding of both probability and statistics

加分條件
- 具備深度學習模型建構/驗證模型效益與 Kaggle 實戰經驗者尤佳
- 不要考慮了,趕快加入 Gogolook,我們走著瞧!

Proceso de entrevista

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1,200,000 ~ 1,800,000 TWD / año
100% Trabajo a Distancia
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Sobre nosotros

【 關於Gogolook 】

信任科技服務商 Gogolook(走著瞧股份有限公司)成立於2012年,以「Build for Trust」為核心,建立由AI與數據驅動的全球化數位防詐與風險管理服務(Risk Management as a Service),從多元通訊、金融科技到企業 SaaS 服務,打造不同應用場景的信任賦能科技。Gogolook 為全球防詐聯盟 GASA 創始會員,並與台灣警政署刑事局、韓國金融監督院、泰國警政、日本福岡市政府、馬來西亞皇家警察與州政府共同防範詐騙問題,以東亞與東南亞最大的電話號碼資料庫為基礎,致力於創造一個「零詐騙環境」。

Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, SaaS and Web3, Gogolook creates trustworthy empowerment with the use of technology in various fields.

Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce, the Fukuoka city government, and the Malaysia Selangor state government to fight fraud and ultimately, to build a trustworthy communication network with the largest database in East Asia and Southeast Asia.

【 創辦故事 】

2010.07Whoscall 首次上架Google Play 平台
2013.12LINE 母公司 NAVER以新台幣5.29億元投資 Gogolook
2014.12Whoscall iOS 版上架
2015.02收購香港小熊來電 App
2016.07與台灣刑事局165簽訂合作備忘錄,協同165反詐騙專線打擊詐騙
2017.07與韓國金融監督院、警察廳簽訂合作備忘錄
2018.02Whoscall 全球用戶破 6,000 萬,獲得國泰私募基金超過3億投資
2019.12推出「Whoscall 市話版象卡來」服務,讓家用電話遠離詐騙和騷擾
2020.07與日本福岡市政府開啟合作,共同防範詐騙問題
2020.09推出金融科技服務「袋鼠金融 Roo.Cash」
2020.09創辦人郭建甫榮獲第四屆總統創新獎
2020.10獲全球最大砷化鎵晶圓代工廠穩懋半導體投資
2020.11可疑訊息查證機器人美玉姨加入 Gogolook
2021.10與泰國警方簽署合作備忘錄,正式開啟防詐合作
2021.11Whoscall 全球下載突破 1 億次
2022.06首次跨足區塊鏈,投資新創 Chainsight
2022.10併購 AI 新創 Crowdinsight,強化風險管理服務
2023.01與馬來西亞皇家警察攜手合作,共同針對網路詐騙問題展開防範措施
2023.07獲選臺灣國家發展委員會 NEXT BIG 新創計畫
2023.07以「走著瞧-創(6902)」名稱於臺灣證交所創新板掛牌上市


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    Nivel medio-superior
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    Los ingresos regulares alcanzan los NT$40,000
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