Machine Learning Operations (ML/Ops) Engineer - Team Lead
At Brixio · Makati, NCR, Philippines
- Data and ML
- Full-time
- Lead
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours On Gumroad, with a card.
Where you can work from
Open to the Philippines
“Makati, NCR, Philippines”
From the location.
Report a mistake
- First seen by us
- 15 October 2026
- Last checked
- 10 hours ago
Job description
From Brixio’s job post, as they wrote it.
Machine Learning Operations (ML/Ops) Engineer - Team Lead
Location / Work Setup: Remote
About Us:
We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure.
Read the full description
Key Responsibilities:
* Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
* Build and enhance capabilities to seamlessly 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 machine learning workflows.
Requirements:
* For Team Lead Position:
* 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.
* For ML/Ops Engineer Position:
* 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.
How to Apply:
If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations.
Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.
Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.
