Jobs at Brixio

Location / Work Setup: RemoteAbout 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 modelsBuild and enhance capabilities to seamlessly integrate ML models into existing pipelinesCollaborate with cross-functional teams to understand project requirements and ensure successful deploymentProvide ongoing support to accommodate surges in requirements, focusing on scalability and efficiencyUtilize Python for scripting and automation tasksWork with Cloud platforms, particularly Azure and GCP to optimize machine learning workflowsRequirementsFor 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 GCP. Prior 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, 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. Show more Show less