ML Engineer: Build Production-Ready AI Solutions

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

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.