Machine Learning Engineer

Tap Growth ai; Taguig; On-site; PHP 1,000,000 - 1,400,000; Full time

Job summary

Ubiquity in Taguig City invites a Machine Learning Engineer to own ML algorithms and data processing within our product platforms. You will develop and deploy models, collaborate with software engineers, and contribute to data-driven decision making.

Ideal candidates have 3+ years of production ML experience, strong Python skills, and hands-on TF or PyTorch experience. You will work in an office setting with cross-functional teams to ship reliable AI features.

Qualifications

• 3+ years experience as a machine learning engineer or scientist deploying models in production.
• Experience deploying models as a part of a (possibly stateful) microservice is strongly desired.
• Expert in Python's open source ML ecosystem; TensorFlow or PyTorch strongly desired.
• Strong OOP knowledge and ability to communicate progress and trade-offs.

Responsibilities

• Provide Machine Learning / Deep Learning algorithms and solutions for data processing and analysis required per project.
• Collaborate with the software engineering team for integration and deployment; support programming if needed.
• Develop requirement documents and guidance for data collection/annotation for ML projects.
• Maintain ML solutions within the software product and iterate to meet targets.

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.