加拿大搵工地獄

喺度搵工
全是運氣
To be precise,
係睇你同interviewer岩唔岩傾
佢like唔like你
所以多d small talk 係有幫助，好似平時傾計吹兩嘴就ok

比d stats 比大家：
Duration: 6months
Applied: 840
First in / tech assessment: 9
Rejected: 1
Ghosted / not yet responsed: 6
Second in: 2
Final in: 1
Offer: 1

喺度搵工有幾難搵，相信有試過既你大家都會知，所以負面野唔多講，threads 搵一下大把
喺度想share 下the lessons I have learnt during this job seeking journey.

Resume-wise:
Resume我都大改過好多次
由一開頭一份好廢既CV
變到依家一份看似好勁既CV
點樣執自己份resume 上網搵大把人已經有教，喺度唔講
但想講一句就係
唔好以為依家份CV已經好好，其實點樣都有得執得更好，不斷改，不斷進步
我自己就分兩份resume，一份AWS，一份Azure，分完之後有interview rate提高左

Learning-wise:

• 我自己有睇晒statquest 所有關於Machine Learning 既片，黎reinforce 自己ML knowledge，都幾有用，interview 真係會問到好多基本ML 野
• AWS Certified Machine Learning Engineer - Associate 呢個course 都好值得讀，會學到好多AWS infrastructure 野，對成個ML system點build你會有更全面既睇法，build個ML system有咩considerations? 學完之後你就會識system design，同埋有interview rate提高左

搵工-wise:

• 有工就9 apply得，apply 工都幾嘥時間，會令到你無時間學野，chatgpt會幫到你（我自己用poe，一定要課金，無得慳）
• Apply 100份都唔夠1個referral 黎，厚面皮d 去r 多d referral，Linkedin 9 connect 人去r referral
• Leetcode唔係間間公司都會考，但建議都要操，先溫data structure and algo on geeksforgeeks，再操晒neetcode果150題，咁你leetcode就應該做到大概200題，能夠搞得掂medium題目，咁u will be fine，得閒重溫下就ok.
• Behaviour questions 要準備定d 基本野，strengths, weeknesses果d 行野，其他吹水
• Your Projects: 呢個重要，你做過既project，可能太耐你會唔記得左d details。我自己就有份notes for each project，要做到interviewer問到所有project details 你都會識，即刻答到。chatgpt 會幫到你，叫chatgpt 去generate some missing project details. 總之你個project details要make sense
• System Design 我自己無乜經驗，應該要in FAANG先會考到

我個working environment就好似右手邊張相咁，貼晒memo紙，去排果日既working priority
成功方法有好多，我呢一套只係其中一套比大家做參考
以上經驗希望幫到你，令你花少d 時間去撞板

最後亦係最重要，希望搵緊工既你，繼續保持希望！揸緊個信念！