ML Ops Engineer | Work From Home | Day Shift | Weekends Off | Day 1 HMO

Emapta; Metro Manila; Remote; PHP 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Day 1 HMO coverage with free dependent

Competitive Salary Package

Day Shift schedule

Fixed weekends off

Permanent WFH arrangement

Salary Advance Program

Unlimited upskilling through Emapta

Free 24/7 access to our office gyms

Exclusive Emapta Lifestyle perks

Unlimited opportunities for employee.

Job summary

Emapta is hiring an ML Ops Engineer to build pipelines, monitoring, and feedback loops behind AI for education for an Australian education technology client. The role offers permanent remote work, day shift with Melbourne time, and opportunities to grow with top talent.

Ideal candidates have 3–5 years in software engineering or MLOps, strong Python, and experience with pipelines and cloud services. Benefits include day 1 HMO, competitive salary, and ongoing upskilling through Emapta Academy.

Qualifications

• 3-5 years of relevant experience in software engineering, MLOps, or LLMOps.
• Strong Python engineering skills and experience with relevant ML libraries and workflows.
• Experience building data and machine learning pipelines using tools such as Dagster, Airflow, Prefect, or Kubeflow.
• Strong understanding of model monitoring, experiment tracking, and CI/CD for machine learning.
• Familiarity with AWS or GCP data and compute services.
• Experience with Docker and Infrastructure as Code tools such as Pulumi, CloudFormation, or Terraform.
• Strong collaboration, communication, adaptability, and problem-solving skills.
• A strong sense of ownership and accountability for results.

Responsibilities

• Design and implement MLOps infrastructure that enables teams to experiment quickly and release models with confidence
• Build tools for model versioning, evaluation, monitoring, and feedback across content generation, recommendations, classification, and assessment insights
• Establish structured experimentation processes with reproducible results and clear decision criteria
• Automate LLM prompt pipelines and integrate them safely and reliably with production systems
• Promote best practices in model lifecycle management, performance, and production monitoring
• Mentor peers on MLOps and engineering practices and encourage collaboration across teams

Skills

Python

ML Pipelines

Dagster

Airflow

CI/CD for ML

AWS / GCP

Docker

IaC (Pulumi)

Terraform

Kubeflow

Tools

Kubeflow

Dagster

Airflow

Pulumi

Terraform

CloudFormation

Docker

Job description

Smarter Models for Australia's Education Technology Sector

Learning breakthroughs need engineering that makes them dependable. As an ML Ops Engineer, you will build the pipelines, monitoring, and feedback loops behind AI for education. Help an Australian education technology company turn classroom signals into timely support for teachers and students. Emapta pairs this meaningful work with a long-term global career, remote flexibility, and growth for top 1% talent.

Snapshot

• Employment Type: Full-time
• Work Setup: Permanent Work From Home
• Shift: Day Shift, 10:00 AM-7:00 PM Melbourne Time, Weekends Off

Benefits

• Day 1 HMO coverage with free dependent
• Competitive Salary Package
• Day Shift schedule
• Fixed weekends off
• Permanent WFH arrangement
• Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/)
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

Qualifications

• 3-5 years of relevant experience in software engineering, MLOps, or LLMOps
• Strong Python engineering skills and experience with relevant ML libraries and workflows
• Experience building data and machine learning pipelines using tools such as Dagster, Airflow, Prefect, or Kubeflow
• Strong understanding of model monitoring, experiment tracking, and CI/CD for machine learning
• Familiarity with AWS or GCP data and compute services
• Experience with Docker and Infrastructure as Code tools such as Pulumi, CloudFormation, or Terraform
• Strong collaboration, communication, adaptability, and problem-solving skills
• A strong sense of ownership and accountability for results

Responsibilities

• Design and implement MLOps infrastructure that enables teams to experiment quickly and release models with confidence
• Build tools for model versioning, evaluation, monitoring, and feedback across content generation, recommendations, classification, and assessment insights
• Establish structured experimentation processes with reproducible results and clear decision criteria
• Automate LLM prompt pipelines and integrate them safely and reliably with production systems
• Promote best practices in model lifecycle management, performance, and production monitoring
• Mentor peers on MLOps and engineering practices and encourage collaboration across teams

About the Client

Our client has become a trusted force in Australian education technology, equipping schools with curriculum-aligned resources that reach hundreds of thousands of students. Its video and practice library helps teachers make learning engaging and effective. Building on that success, the company has introduced assessment technology that uncovers misconceptions and turns classroom data into guidance. By connecting insight, recommendations, and practice, it is creating a responsive learning experience and setting a new standard for how educational technology supports student progress.

Join the Top 1% Talent. A better career. A better life.

Welcome to Emapta Philippines: home to professionals who choose growth, balance, and impact. Recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026, Emapta offers more than opportunities -- it provides a career environment where people thrive. Collaborate with global teams, build meaningful expertise, and grow in a culture that prioritizes both performance and well-being.