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 clients 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

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Get Hired
• 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 clients ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.