iuwv5tzgji916c2oxbu3hz8d
Brixio SingaporeBrixio Singapore

Machine Learning Operations (ML/Ops) Engineer - Team Lead

Machine Learning Operations (ML/Ops) Engineer - Team Lead - Brixio | Career Page (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-WNGRBS6'); .primary-color { color: #396BD1; } .bg-primary-color { background-color: #396BD1; } .btn-info, .btn-info:hover { background-color: #396BD1; } .btn-apply, .btn-apply:hover { background-color: #396BD1 !important; border-color: #396BD1 !important; } .search-form { width: fit-content; margin: 0px auto 20px; padding: 10px; width: 60%; } .select2-container { width: 100% !important; } .search-dropdown-options { position: absolute; margin: 5px -12px; width: calc(100% - 17px); border: 1px solid #cacaca; border-top: 0px; z-index: 1; background: #fff; max-height: 200px; overflow: auto; border-radius: 0px 0px 6px 6px; } .search-dropdown-options li { cursor: pointer; } .search-dropdown-options ul li:hover { background-color: #5897fb; color: white; } .search-dropdown-options label { width: calc(100% - 22px); font-size: 14px; } .search-dropdown-placeholder { font-size: 14px; margin: 3px; cursor: pointer; } .select2-container--default .select2-selection--single { height: 38px !important; } .select2-container--default .select2-selection--single { height: 38px !important; border: 1px solid #ced4da !important; } .select2-selection__arrow { height: 36px !important; } .select2-results__option { font-size: 14px; } .select2-selection__rendered { line-height: 38px !important; font-size: 14px; color: #969696; } .width-100 { width: 100%; } ::-webkit-input-placeholder { /* Chrome/Opera/Safari */ font-size: 14px; color: #969696; } ::-moz-placeholder { /* Firefox 19+ */ font-size: 14px; color: #969696; } :-ms-input-placeholder { /* IE 10+ */ font-size: 14px; color: #969696; } :-moz-placeholder { /* Firefox 18- */ font-size: 14px; color: #969696; } @media (max-width: 575px) { .search-form { width: 100%; } .display-4{ font-size: 2.5rem; } } .positions { font-size: 16px; color: #808080; } .serach_count { padding: 4px; } .empty-result { color: #808080; } .fa-chevron-right { padding: 0px 8px; }

Machine Learning Operations (ML/Ops) Engineer - Team Lead

Makati, NCR, Philippines

₱ 60,000.00 - 95,000.00 (Philippine Peso)

Apply for Position Or refer someone

Job Openings Machine Learning Operations (ML/Ops) Engineer - Team Lead

About the job Machine Learning Operations (ML/Ops) Engineer - Team Lead

**
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.

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.

Package Details

Benefits:

Health Insurance/HMO (if residing in Philippines)

Paid training

Work from home

Schedule:

8-hour shift (UAE Time: 9:00AM-6:00PM)

Flextime

Monday to Friday

Supplemental pay types:

13th month salary

Overtime pay

Apply for Position
Or refer someone

Share

Powered by Manatal

.redactor-styles { font-family: -apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,"Noto Sans",sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji"; }