Machine Learning Engineer

Ubiquity; Taguig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Ubiquity in Taguig City, Philippines is hiring a Machine Learning Engineer to develop ML techniques for our product platforms. You will work with software engineers to integrate ML solutions, support demos and define data processing requirements.

This role demands hands-on production deployment and collaboration across project teams. The ideal candidate has 3+ years in ML/DS, strong Python skills, and experience with TensorFlow or PyTorch, plus the ability to work autonomously in a collaborative

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.
• Passion for optimizing core products or operations through AI/ML systems in production.
• Expert in Python's open source ML ecosystem; TensorFlow or PyTorch experience.
• Strong OO programming skills and ability to work autonomously.
• Excellent ability to communicate progress, trade-offs, and results to cross-functional teams.

Responsibilities

• Provide ML/DL algorithms and solutions for data processing and analysis per project.
• Collaborate with software engineering for integration and deployment; assist with programming if needed.
• Develop requirement documents and guide data collection/annotation for ML development.
• Maintain ML solutions as part of the software product and iterate to meet project targets.

Skills

Python

Data analysis

Communication

Autonomy

Tools

TensorFlow

PyTorch

Job description

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:

Taguig City, Philippines

Work Mode:

Work from Office

Role:

Machine Learning Engineer

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. 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.

What do we need from you?

• 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.