Remote ML/Ops Team Lead – Azure & GCP, Python

Brixio Singapore; Makati; Remote; PHP 670,000 - 1,060,000; Full time

Job summary

Brixio Singapore is seeking an experienced ML/Ops Engineer - Team Lead for a remote role based around Makati, Philippines. The role focuses on leading deployments of machine learning models into production pipelines while coordinating with cross-functional teams.

Ideal candidates bring 3+ years in ML/Ops, strong leadership, and deep Python and cloud platform expertise (Azure and GCP). The position favors scalability-focused, client-facing engineers with excellent communication skills.

Qualifications

• At least 3 years of experience in ML/Ops or a related field.
• Proven leadership skills with the ability to guide and inspire a team.
• Excellent communication skills to effectively liaise with clients and internal teams.
• Strong experience in deploying Machine Learning models.
• Proficiency in Python for scripting and automation.
• Hands-on experience with Cloud platforms, particularly Azure and GCP.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Responsibilities

• Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
• Build and enhance capabilities to integrate ML models into existing pipelines.
• Collaborate with cross-functional teams to understand project requirements and ensure successful deployment.
• Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency.
• Utilize Python for scripting and automation tasks.
• Work with Cloud platforms, particularly Azure and GCP, to optimize workflows.

Skills

Leadership

Communication

Python

ML/Ops

Tools

Azure

GCP

Job description

Brixio Singapore is seeking an experienced ML/Ops Engineer - Team Lead for a remote role based around Makati, Philippines. The role focuses on leading deployments of machine learning models into production pipelines while coordinating with cross-functional teams.

Ideal candidates bring 3+ years in ML/Ops, strong leadership, and deep Python and cloud platform expertise (Azure and GCP). The position favors scalability-focused, client-facing engineers with excellent communication skills.