Machine Learning engineerDocquity Philippines Corporation

Collaborates with the data analysts and data scientists to develop new ideas and machine
learning models: regression, classification, forecasting, clustering, reinforcement learning (Neural
Networks).
Regularly reviews proven as well as novel methods/techniques or libraries that can potentially add value to projects
Develops internal tools like custom libraries or automated systems that can help streamline processes
Develops web-scraping tools to regularly collect data from the web and other publicly available databases / portals.
Save and document work using Git and other documentation tools
Participates in all steps of the data science cycle
a. Understand the business problem
b. Understand the data
c. Collect the data
d. Process the data and engineer features
e. Train supervised or unsupervised ML models
f. Evaluate the models
g. Deploy the models
h. Evaluate post-deployment
Requirements
Experience in Python with the ability not only to use standard libraries, but also having experience in developing customer libraries for the business.
Experience in machine learning modeling. Have worked on real world projects related to NLP using the latest models in classification, regression, clustering and reinforcement learning.
Is a good communicator (sender and receiver, written and oral)
Has a collaborative mindset
Is a self-learner and aims to continuously improve
Has shown good problem-solving skills
Knowledge of Web Development Tools, HTML, Javascript
Plus:
Coming from a medical field experience.
Understanding and experience with AWS tools and services
Understanding and experience using visualization tools like Tableau
Benefits
HMO
Paid Leave Credit
Annual Salary Increment
Performance Bonus
Flexible Time Window
Hybrid Work Set Up
Docquity Philippines Corporation

Taguig City, Metro Manila
Permanent
Full-time