Machine Learning Engineer | BGC, Taguig

Ubiquity; Taguig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Ubiquity in Taguig, Philippines seeks a Machine Learning Engineer to deliver ML/DL algorithms for data processing and analysis, and to collaborate with software engineers on integration and deployment. The role requires deployment of models at scale and ongoing solution maintenance in production.

You will guide data collection, annotate processes, and communicate progress and trade-offs across teams. Strong Python, TensorFlow or PyTorch experience is expected, with autonomous work style.

Qualifications

• 3+ years of experience as a machine learning engineer or scientist, deploying models in production at scale.
• Experience deploying models as part of a (possibly Stateful) microservice is strongly desired.
• Passionate about directly optimizing core products or operations through AI/ML systems deployed to production.
• Care deeply about exploring data and understanding the real-life user behavior and processes that generate it.
• Expert in Python's open-source machine learning ecosystem; TensorFlow or PyTorch experience strongly desired.
• Experience with Object Oriented Programming (OOP) paradigm and related concepts; independent and innovative thinker who can work in an autonomous environment.
• You excel at communicating progress, trade-offs, and the results of your work to team members from other functions.

Responsibilities

• Provide Machine Learning / Deep Learning algorithms and solutions for data processing and analysis required per project.
• Work together with the software engineering team for software solution integration, to ensure software product deployment and integrity. Support the software team with programming if necessary.
• Provide Machine Learning and algorithm expertise and develop requirement documents collaboratively with project teams. Guide data collection and annotation process, based on the requirements of the Machine Learning algorithm development.
• Maintain the Machine Learning solution as part of the software product. Provide ongoing solution development to meet project targets, and reengineer the solution as needed.

Skills

Python

ML/DL

Data analysis

Production deployment

TensorFlow

PyTorch

OOP

Communication

Tools

TensorFlow

PyTorch

Python

Job description

At Ubiquity, we live and breathe our mantra: Head, Heart, Hustle. This isn’t just a philosophy—it’s the foundation of who we are and what we do. As a Machine Learning Engineer, you’ll embody this mantra every day, delivering exceptional service with expertise, empathy, and a drive to succeed.

What it will do:

• Provide Machine Learning / Deep Learning algorithms and solutions for data processing
  and analysis required per project.

• Work together with the software engineering team for software solution integration, to
  ensure software product deployment and integrity. Support the software team with
  programming if necessary.

• Provide Machine Learning and algorithm expertise and develop requirement documents
  collaboratively with project teams. Guide data collection and annotation
  process, based on the requirements of the Machine Learning algorithm development.

• Maintain the Machine Learning solution as part of the software product. Provide ongoing
  solution development to meet project targets, and reengineer the solution as needed

Qualifications

• You have 3+ years of experience as a machine learning engineer or scientist, deploying
  models in production at scale. Experience deploying models as a part of a (possibly
  stateful) microservice is strongly desired.

• You are passionate about directly optimizing core products or operations through AI/ML
  systems deployed to production

• You care deeply about exploring data and understanding the real-life user behavior and
  processes that generate it

• You are an expert in Python's open-source machine learning ecosystem. Experience with
  TensorFlow or PyTorch is strongly desired.

• Experience with Object Oriented Programming (OOP) paradigm and related concepts.
  Independent and innovative thinker with an ability to work in an autonomous
  environment.

• You excel at communicating progress, trade-offs, and the results of your work to team
  members from other functions.