Machine Learning Engineer

Ubiquity Global Services, Inc.

Taguig

On-site

PHP 800,000 - 1,200,000

Full time

14 days+
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Benefits offered by this job

Career development programs
People-first culture

Job summary

Ubiquity Global Services, Inc. is seeking a Machine Learning Engineer to develop machine learning techniques for our products. The role involves collaboration with the software engineering team, supporting software solution integration, and deploying models in production.

The ideal candidate has 3+ years of experience, is proficient in Python and familiar with TensorFlow or PyTorch, and excels in data exploration and communication.

Join our people-first culture and thrive in a fast-paced environment where your contributions are valued.

Qualifications

  • 3+ years experience as a machine learning engineer or scientist, deploying models in production at scale.
  • Experience deploying models as part of a (possibly stateful) microservice.
  • Passionate about optimizing core products or operations through AI/ML.

Responsibilities

  • Provide Machine Learning/Deep Learning algorithms and solutions for data processing and analysis.
  • Collaborate with software engineering team for integration and deployment.
  • Develop requirement documents collaboratively with project teams.

Skills

Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Object Oriented Programming

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.

Ubiquity is hiring for a Machine Learning Engineer to join our team. The Machine Learning Engineer has overall responsibility for developing machine learning techniques and algorithms required for Ubiquity’s product platforms. He/she provides support during demo as well as project phase by defining requirements and creating solutions required for proper data processing and decision making of software products.

Location and Role
  • Taguig City, Philippines
  • Work from Office
  • Machine Learning Engineer
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. Provide guidance for data collection and annotation process, based on requirement of the Machine Learning algorithm development.
  • Maintain Machine Learning solution as a part of the software product. Provide ongoing solution development to meet project target, and reengineer solution as needed.
Qualifications
  • You have 3+ years 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.
Why Join Us?

Head: Access to career development programs that help you grow professionally and personally.

Heart: Be part of a people‑first culture that values your contributions and supports your aspirations.

Hustle: Thrive in a dynamic, fast‑paced environment where your hard work and dedication are celebrated.

At Ubiquity, we’re more than a workplace—we’re a community that’s invested in your success. If you’re ready to make an impact and grow with us, apply now and experience how we bring Head, Heart, and Hustle to life every day.

Apply today and start your journey with Ubiquity!

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