MLOps Engineer: Build Production ML & LLM Pipelines

Clark Development Corporation; Philippines; In loco; PHP 800.000 - 1.100.000; Tempo pieno

Descrizione del lavoro

Beepo, INC. is seeking a Machine Learning Engineer to design and implement MLOps infrastructure, enabling rapid experimentation and reliable production deployment.

You will build tooling for versioning, evaluation, monitoring, and feedback loops, and promote structured experimentation with reproducible processes. The role includes automating LLM prompt pipelines, driving lifecycle best practices, and mentoring peers across cross-functional teams to ensure scalable, robust ML systems in

Competenze

• 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 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.

Mansioni

• 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.

Conoscenze

Python

ML pipelines

MLOps

Docker

Version control

Testing

Code quality

Experiment tracking

CI/CD

AWS

GCP

IaC

Model deployment

Strumenti

Docker

Descrizione del lavoro

Beepo, INC. is seeking a Machine Learning Engineer to design and implement MLOps infrastructure, enabling rapid experimentation and reliable production deployment.

You will build tooling for versioning, evaluation, monitoring, and feedback loops, and promote structured experimentation with reproducible processes. The role includes automating LLM prompt pipelines, driving lifecycle best practices, and mentoring peers across cross-functional teams to ensure scalable, robust ML systems in