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.