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. 
