Machine Learning Platform Engineer-Contract

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Description

Build Next-Generation AI & Agentic Platforms Own the End-to-End MLOps Lifecycle About Our Client An organisation in the financial services industry located in Singapore. Job Description Develop and optimise machine learning platforms to support business requirements. Ensure the scalability, performance, and reliability of machine learning systems. Collaborate with data scientists and engineers to integrate machine learning models into production systems. Design and implement workflows for data processing and model deployment. Monitor and troubleshoot platform performance to ensure operational efficiency. Stay updated on the latest trends and advancements in machine learning technologies. Provide technical support and guidance to team members on platform-related issues. Document processes and best practices for the use and maintenance of the platform. The Successful Applicant A successful Machine Learning Platform Engineer should have: Strong technical expertise in machine learning frameworks and tools. Proficiency in programming languages commonly used in machine learning, such as Python or Java. Proven experience working with Large Language Models (LLMs) DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration Experience with data engineering and model deployment in production environments. Problem-solving skills and a proactive approach to addressing technical challenges. What's on Offer Competitive monthly

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