Senior MLOps Engineer: Scale ML Pipelines & Deployment

Hammerjack Pty Ltd; Philippines; Hybrid; PHP 1,500,000 - 3,500,000; Full time

Benefits offered by this job

Career development

Competitive salary & benefits

Performance incentives

Mentorship

Career progression

Job summary

Hammerjack Pty Ltd in Makati seeks an experienced ML Ops Engineer to join our Digital Products and Channels team. In this hybrid role, you will design, build, and optimize end-to-end MLOps pipelines to enable scalable deployment, monitoring, and governance of machine learning models across the organization.

You will collaborate with data science, engineering, and infrastructure teams to establish reliable, reproducible workflows, enforce model versioning and governance, and drive performance

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, IT, or related field; a Master's is an advantage.
• At least 5 years in software engineering, data platforms, or ML infrastructure, including 3+ years in MLOps.
• Strong expertise in MLOps tools and cloud platforms (AWS, GCP, Azure).
• Proficiency in Git, model versioning, and end-to-end ML lifecycle management.
• Ability to communicate with cross-functional teams and translate technical concepts into business value.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines to support CI, CD, deployment, and monitoring of ML models.
• Collaborate with Data Scientists and Engineers to transition models from development to production.
• Implement automated monitoring, logging, and performance tracking to ensure model reliability.
• Enforce best practices for model versioning, reproducibility, and end-to-end ML lifecycle management.
• Manage model governance, access controls, and regulatory compliance.
• Lead initiatives on model performance optimization, drift detection, and automated retraining.

Skills

MLOps experience

Analytical thinking

Cross-functional collaboration

Communication

Problem-solving

Education

Bachelor's degree in Computer Science / related field

Master's degree is an advantage

Tools

AWS / GCP / Azure

Containerization (Docker/Kubernetes)

CI/CD for ML deployments

Git

Model versioning

ML monitoring/logging

Job description

Hammerjack Pty Ltd in Makati seeks an experienced ML Ops Engineer to join our Digital Products and Channels team. In this hybrid role, you will design, build, and optimize end-to-end MLOps pipelines to enable scalable deployment, monitoring, and governance of machine learning models across the organization.

You will collaborate with data science, engineering, and infrastructure teams to establish reliable, reproducible workflows, enforce model versioning and governance, and drive performance