Machine Learning Engineer

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

Discover 100% YOU as an Machine Learning Engineer

• Position: Machine Learning Engineer
• Location: Central Luzon
• Work setup & shift: Remote | Day Shift

What's in it for you?

• Competitive Total Rewards (Compensation, Allowance, HMO, and Paid Time Off)
• Employee Referral Program
• Work Life Balance/Company Provided Equipment

Your Role

As an Machine Learning Engineer, you are responsible for:

• Design and implement MLOps infrastructure so teams can experiment fast and ship with confidence.

• Build tooling for model versioning, evaluation, monitoring and feedback loops.

• Introduce "think like a scientist" processes — structured experimentation, reproducibility, clear decision frameworks.

• Automate LLM prompt pipelines and integrate them safely and reliably into production systems.

• Drive best practices for model lifecycle management, performance, and monitoring in production.

• Mentor peers in MLOps and engineering best practices; advocate for cross-functional collaboration.

Qualifications, Skills and Experience

• Strong Python engineering skills, with experience developing production-ready applications, services, or ML solutions.

• Broad experience in Machine Learning Engineering, including developing, deploying, and maintaining machine learning solutions.

• Hands-on experience building data and ML pipelines using modern workflow or orchestration frameworks.

• Good understanding of software engineering best practices, including version control, testing, and code quality.

• Experience working with ML workflows from development through deployment and production support.
• Experience with MLOps or LLMOps libraries, tools, and workflows.
• Familiarity with model monitoring, experiment tracking, and ML-focused CI/CD practices.
• Experience working with AWS or GCP data and compute services.
• Experience with containerisation technologies such as Docker.
• Familiarity with Infrastructure as Code (IaC) tools and practices.
• Exposure to deploying and maintaining machine learning models in production environments.

About Beepo

Our Beepo office is located in Clark, Pampanga. We provide exceptional workforce support to clients all over the world. Our primary focus is to help businesses grow sustainably with the help of fantastic Philippine talent.

You will be supported by a great working environment, leading benefits, and an opportunity to meet your career goals. You will be able to apply your skills and innovative thinking to this role. This is an opportunity to grow your career quickly.