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Proprietary + Confidential
Life of a ML Engineer
By Vincent Tatan
Proprietary + Confidential
Meet Vincent
Sr. Machine Learning Engineer
Trust & Safety
Proprietary + Confidential
Disclaimer
This disclaimer informs readers that the views, thoughts, and opinions
expressed in the text belong solely to the author, and not necessarily to the
author’s employer, organization, committee or other group or individual.
This article was made purely as the author’s initiatives and in no way driven by
any other hidden agenda.
Proprietary + Confidential
Proprietary + Confidential
Today’s Agenda
1
2
3
4
About myself
Day2Day @ Google
Machine Learning Ops Pipeline
Advice to Boost Career + Q&A
Proprietary + Confidential
Path to Google
Visa
Business Intelligence Intern
May 16 - Jul 16
Lazada Group
Data Scientist Intern
Dec 16 - Apr 17
B.Sc., Management Information
Systems and Services
Aug 13 - July 17
Visa
Data & Architecture
Engineer (SG)
Jun 17 - Aug 19
Google
Machine Learning Engineer
(SG & USA)
Aug 19 - Present
Proprietary + Confidential
Google:
Trust and
Safety
To prevent phishing @
scale with Data Analytics
and ML
Proprietary + Confidential
So, what do I do at Google?
Proprietary + Confidential
Day 2 Day @ Google
Proprietary + Confidential
My Life at Google...
Proprietary + Confidential
It’s not all about coding!
Proprietary + Confidential
Looking into things at scale
Proprietary + Confidential
Proprietary + Confidential
Machine Learning Ops
Pipeline
Proprietary + Confidential
ML Pipeline
Data Collection +
Preprocessing
Model Training
and Evaluation
Machine Learning
Operations (MLOps)
Proprietary + Confidential
ML Ops = Data + ML Model + Dev Ops
Proprietary + Confidential
Proprietary + Confidential
Data
Proprietary + Confidential
ML Model
Proprietary + Confidential
Dev Ops
Proprietary + Confidential
But Wait
Data + ML Model + Dev Ops + Compliance
Proprietary + Confidential
Proprietary + Confidential
Advice to boost your career
Proprietary + Confidential
Contribute more!
Data Science expands a lot, share your knowledge
1. Read more: Keep experimenting
with your learning styles
(kinesthetic, auditory, visual)
2. Write more: Write articles and share
them!
3. Speak more: Teach your fellow
peers or any conferences out there!
Proprietary + Confidential
Generalize and Specialize
1. Strength: Utilize your biggest
strengths
2. Communicate: Communicate your
strength and impacts more.
3. Learn in T: SQL & Python/R are the
breadth, then domain knowledge is
your depth
Read Deep Work
Follow it to the T
Proprietary + Confidential
Smile!
Data Science is Fun
1. Play: Tough, so have fun.
2. Hack: Use Saturdays to learn with
friends.
3. Celebrate impacts: Data science is
about building impacts. Start small
and celebrate!
Proprietary + Confidential
Advice to
boost your
career
1. Contribute more
2. Specialize in skills,
generalize in soft domain
3. Have fun!
Proprietary + Confidential
https://bit.ly/2rBUP0Y https://bit.ly/3Io8PgR
Proprietary + Confidential
Reach out to me :)
Medium : towardsdatascience.com/@vincentkernn
Linkedin : linkedin.com/in/vincenttatan/
Survey: tiny.cc/vincent-survey
For referrals, Please reach out on linkedin.
Any questions?

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