Overview
Machine Learning Operations (ML / Ops) Engineer - Team Lead. We are looking for a skilled ML / Ops professional to lead deployment of Machine Learning models into pipelines for a client project based in Hong Kong. This is a remote opportunity with a focus on high-impact ML infrastructure initiatives.
Base pay
AED5,000.00 / yr - AED7,000.00 / yr
Location / Work Setup
Remote
Key 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 machine learning workflows
Requirements
For Team Lead Position :At least 3 years of experience in ML / Ops or a related fieldProven leadership skills with the ability to guide and inspire a teamExcellent communication skills to effectively liaise with clients and internal teamsFor ML / Ops Engineer Position :Strong experience in deploying Machine Learning modelsProficiency in Python for scripting and automationHands-on experience with cloud platforms, particularly Azure and GCPPrior experience in addressing scalability and pricing concerns in ML operationsHow 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, please submit your resume highlighting relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations.
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