Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should have a strong background in machine learning engineering with experience in deploying and maintaining AI models. Proficiency in cloud infrastructure and automation of workflows is essential. The ideal candidate should also possess excellent problem-solving skills, strong communication abilities, and a team-player mindset. A passion for AI-driven innovation and the ability to work independently in a self-organized manner is required.
The Machine Learning Engineer will operationalize machine learning models by orchestrating the entire ML model lifecycle, including development, deployment, monitoring, and optimization. They will implement automated workflows for model retraining and performance tracking to ensure long-term stability. Additionally, they will transform machine learning artifacts into production systems while maintaining robust integration with existing engineering infrastructure.
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