ML Engineer: MLOps & LLM Pipelines (Remote)

Beepo

Philippines

Remote

PHP 900,000 - 1,600,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation
Referral program
Equipment provided

Job summary

Beepo is seeking a Machine Learning Engineer to design and implement MLOps infrastructure, enabling teams to experiment quickly and ship confidently. You will build tooling for model versioning, evaluation, monitoring, and automated prompt pipelines, while driving lifecycle practices and production readiness.

Ideal candidates have strong Python engineering skills, production ML experience, and a track record with ML workflows, CI/CD for ML, and cloud services.

Qualifications

  • Strong Python engineering skills with production-ready apps.
  • Broad experience in ML engineering and deployments.
  • Hands-on data/ML pipelines with modern workflows.

Responsibilities

  • Design and implement MLOps infrastructure for rapid experimentation.
  • Build tooling for model versioning, evaluation, monitoring and feedback.
  • Establish structured experimentation and reproducibility processes.
  • Automate LLМ prompt pipelines and integrate into production.
  • Drive model lifecycle, performance, and production monitoring best practices.
  • Mentor peers and promote cross-functional collaboration.

Skills

Python engineering
ML engineering
Data pipelines
Software engineering basics
ML workflows (dev→prod)
MLOps / LLMOps
Model monitoring & experiment tracking
Cloud (AWS / GCP)
Docker
Infrastructure as Code
Production ML deployment

Tools

Docker
AWS
GCP

Job description

Beepo is seeking a Machine Learning Engineer to design and implement MLOps infrastructure, enabling teams to experiment quickly and ship confidently. You will build tooling for model versioning, evaluation, monitoring, and automated prompt pipelines, while driving lifecycle practices and production readiness.

Ideal candidates have strong Python engineering skills, production ML experience, and a track record with ML workflows, CI/CD for ML, and cloud services.

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