Machine Learning Engineer

IO Tech Solutions Limited; Hong Kong; Presencial; HKD 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

IO Tech Solutions Limited is seeking a highly skilled Machine Learning Engineer for a prominent financial institution. You will architect, develop, and deploy GenAI and ML solutions, integrating LLMs into enterprise workflows and supervising systems.

You will manage the AI lifecycle from data ingestion to model monitoring, collaborating with cross-functional teams to ensure secure, regulatory-compliant deployments and scalable, production-grade applications.

Formación

• Extensive experience with the full AI tech stack, demonstrated expertise in Python.
• Proven success with MLOps/LLMOps, including governance and real-time monitoring.
• Experience building scalable AI apps in secure or regulated environments.
• Strong knowledge of Agile methodologies and CI/CD pipelines.
• Excellent analytical skills and ability to translate complex concepts into robust solutions.

Responsabilidades

• Architect, develop, and deploy production-quality GenAI and ML solutions.
• Integrate LLMs into enterprise workflows and supervisory systems.
• Manage end-to-end AI lifecycle: data ingestion, training, fine-tuning, monitoring.
• Collaborate across teams to bridge experiments and production-grade apps.
• Ensure AI systems meet security, data governance, and regulatory standards.

Conocimientos

Python

MLOps

LLMOps

Regulatory compliance

CI/CD

Agile

Analytics

Descripción del empleo

My client, a prominent financial institution provider, is seeking a highly skilled Machine Learning Engineer to join a dynamic project team focused on transforming data-driven supervision through cutting-edge artificial intelligence.

What you'll do

• Architect, develop, and deploy production-quality GenAI and machine learning solutions.
• Integrate Large Language Models (LLMs) into existing enterprise workflows and supervisory systems.
• Manage the end-to-end AI lifecycle, including data ingestion, model training, fine-tuning, and performance monitoring.
• Collaborate across multi-disciplinary teams to bridge the gap between experimental modeling and production-grade applications.
• Ensure AI systems meet rigorous standards for security, data governance, and regulatory compliance.

The experience and skills needed

• Extensive experience in the full AI technology stack, with deep proficiency in Python.
• Demonstrated success in MLOps and LLMOps, including model governance and real-time monitoring.
• Practical experience building scalable AI applications within a secure or highly regulated environment.
• Strong understanding of Agile methodologies and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent analytical skills with the ability to turn complex concepts into reliable, sustainable, and performant solutions.