Machine Learning Engineer — Remote MLOps & Production AI

Beepo Inc.; Central Luzon; Remote; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

HMO

Paid Time Off

Employee Referral Program

Company Provided Equipment

Remote Work

Job summary

Beepo Inc. in the Philippines is seeking a Machine Learning Engineer who will design and implement scalable MLOps infrastructure to enable fast experimentation and reliable shipping of models.

You will build tooling for model versioning, evaluation, monitoring, and feedback loops, and automate LLM prompt pipelines for production use. You’ll mentor peers and drive cross-functional collaboration to raise engineering standards across teams.

Qualifications

• Strong Python engineering with production apps or ML solutions.
• Extensive ML engineering experience across development, deployment and production support.
• Hands-on data/ML pipelines using orchestration frameworks.
• Good practices: version control, testing, and code quality.
• Experience with ML workflows from development to production.

Responsibilities

• Design and implement MLOps infrastructure for rapid experimentation.
• Build tooling for model versioning, evaluation, monitoring, and feedback loops.
• Automate LLM prompt pipelines and production integration.
• Drive model lifecycle management and production performance.
• Mentor peers and promote cross-functional collaboration.

Skills

Python

MLOps

ML pipelines

Cloud (AWS/GCP)

Docker

Team mentoring

Tools

Docker

CI/CD

TensorFlow/PyTorch

Job description

Beepo Inc. in the Philippines is seeking a Machine Learning Engineer who will design and implement scalable MLOps infrastructure to enable fast experimentation and reliable shipping of models.

You will build tooling for model versioning, evaluation, monitoring, and feedback loops, and automate LLM prompt pipelines for production use. You’ll mentor peers and drive cross-functional collaboration to raise engineering standards across teams.