Our Client
Our client is an innovative insurance company that leverages cutting-edge technology to redefine the insurance industry. They utilize advanced machine learning and AI technologies to enhance services and customer experiences across Asia.
Job Description:
We are seeking a talented Machine Learning Engineer to join our team. In this role, you will be responsible for developing and implementing machine learning models to solve various business challenges, driving data-driven decision-making and operational efficiency. The ideal candidate will have a strong background in machine learning, data science, and software engineering.
Key Responsibilities:
• Design, develop, and deploy machine learning models to address key business challenges.
• Collaborate with data scientists and analysts to understand data requirements and implement suitable machine learning solutions.
• Optimize machine learning algorithms for performance and scalability.
• Implement automated processes for data preparation, model training, model validation, and deployment.
• Work closely with IT and engineering teams to integrate machine learning models into existing business systems and processes.
• Stay updated on the latest trends and advancements in machine learning, AI, and related technologies.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• Proven experience in developing and implementing machine learning models.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
• Experience with data processing and analysis tools.
• Understanding of cloud computing and big data platforms.
• Familiarity with computer vision libraries such as OpenCV is a plus.
• Excellent problem-solving skills and attention to detail.
• Fluent in English for effective communication.
• Ability to work in a fast-paced and collaborative environment.
Benefits:
• Competitive Compensation Package with Annual Salary Range of HKD $480,000 - $600,000.
• Dynamic & Innovative Environment.
• Opportunity to work with latest technology trends.
• Hybrid Work Structure
