Say no to manually filling long application forms
Visit any careers page and a lightning button will pop up on any compatible page with a form
Use ChatGPT to auto-fill job forms
Ask for Referral for any job post
martin bomio
staff machine learning engineer
About
Martin Bomio is a highly experienced staff machine learning engineer with over 8 years of relevant experience in the field. Currently, he is working with Spotify as a staff machine learning engineer, where he is responsible for developing and implementing machine learning models to improve the user experience. Prior to this, he worked as a senior machine learning engineer and data engineer at Spotify, where he gained extensive knowledge and experience in the field. He has a strong background in data engineering and has worked on various projects related to data processing, storage, and retrieval. Martin Bomio has a solid educational background, having completed his education from prestigious institutions. He attended St. Patrick's College from 1996 to 2001, where he obtained his undergraduate degree. Later, he pursued his postgraduate degree from the Universidad de Montevideo from 2009 to 2014. Martin Bomio's technical skills are highly impressive, and he has expertise in ML and data engineering. He has worked on several projects related to these fields, and his work has been highly appreciated by his peers and colleagues. He is skilled in developing and implementing machine learning algorithms, data processing, and storage, and retrieval techniques. In summary, Martin Bomio is a highly skilled and experienced staff machine learning engineer with a strong educational background and a vast experience in the field. He is a valuable asset to any organization he works for and is committed to delivering high-quality work.
Education Overview
• universidad de montevideo
• st. patricks college
Companies Overview
• spotify
• universidad de montevideo
• dataxu
• netk
Experience Overview
9.6 Years
Find anyone’s contact
Experience
Skills
Boost your visibility and stand out to employers with referrals from your LinkedIn connections.
amazon ec2
amazon s3
amazon web services
android development
ansible
apache spark
big data
data science
deep learning
git
hadoop
headend
hive
ios development
java
java enterprise edition
javascript
junit
linux
machine learning
Machine Learning (ML)
maven
microchip pic
mysql
pandas
php
postgresql
python
rest
scala
scrum
software design
software design patterns
software development
software engineering
tensorflow
unix
unix shell scripting
web services
Contact Details
Email (Verified)
marXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
universidad de montevideo
2009 - 2014
st. patricks college
1996 - 2001
Frequently asked questions
Find anyone’s contact and let Weekday reach out to them on your behalf
Start hiring nowStop manually filling job applications. Use AI to auto-apply to jobs
Look for jobs now