Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
Hang
Hang is a next-generation brand loyalty and membership platform that leverages personalization and gamification to enhance customer experiences. They are seeking a Machine Learning Engineer to develop and implement machine learning models that will improve their platform's capabilities and drive data-driven decision-making.
Qualification
- Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. is a plus.
- 5+ years of experience in machine learning and data-related roles.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
- Experience with data processing and analytics, and proficiency in managing high-dimensional data with vector databases.
Responsibility
- Design, build, and deploy machine learning models for customer personalization and predictive analytics.
- Analyze large datasets to identify trends and inform model development.
- Continuously test and refine algorithms for improved accuracy and efficiency.
- Collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform.
- Stay updated with the latest developments in machine learning and explore new techniques for innovation.
- Provide insights and guidance on best practices in machine learning.
