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Open nowFirst seen 8 hours ago

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

Brixio37 open roles

Where
Makati, NCR, Philippines, Remote
Work mode
Remote
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Your applicationOpen nowMachine Learning Operations (ML/Ops) Engineer - Team LeadBrixio · Makati, NCR, Philippines, Remote

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 8 hours ago

The posting

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.

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