Machine Learning Engineer - Global Payment
At ByteDance, our mission is to inspire creativity and bring joy to people's lives through the power of technology. As a Machine Learning Engineer for Global Payment, you will play a crucial role in developing and implementing machine learning algorithms for our global payment platform. We're looking for a talented and passionate individual who is driven by innovation and has a strong background in machine learning and payment systems. If you're ready to join a dynamic and fast-paced team, read on to learn more about this exciting opportunity!
- Develop and implement machine learning algorithms for ByteDance's global payment platform.
- Collaborate with cross-functional teams to understand business requirements and design solutions that leverage machine learning.
- Conduct research and experiments to improve the performance and accuracy of existing machine learning models.
- Manage and maintain large datasets for training and testing machine learning models.
- Monitor and evaluate the performance of deployed machine learning models and make necessary improvements.
- Stay up-to-date with the latest advancements in machine learning and payment systems to continuously improve our platform.
- Work closely with product managers and engineers to integrate machine learning capabilities into the payment platform.
- Provide technical guidance and support to other team members on machine learning techniques and best practices.
- Participate in code reviews and ensure code quality and scalability of machine learning solutions.
- Communicate complex technical concepts and findings to non-technical stakeholders.
- Proactively identify and solve potential problems and roadblocks in the development and deployment of machine learning models.
- Collaborate with data engineers to ensure the availability and quality of data for machine learning.
- Participate in the development of overall payment platform strategy and roadmap.
- Continuously monitor and analyze the performance of the payment platform and make recommendations for improvements.
- Stay updated with industry trends and developments related to machine learning and payment systems.
Strong Background In Machine Learning: A Machine Learning Engineer At Bytedance Should Have A Deep Understanding Of Various Machine Learning Concepts, Algorithms, And Techniques. They Should Have Hands-On Experience Working With Different Ml Frameworks Such As Tensorflow, Pytorch, And Keras.
Experience In Global Payment Systems: The Ideal Candidate Should Have Prior Experience Working With Global Payment Systems And Financial Technologies. They Should Be Familiar With Various Payment Methods, Regulations, And Compliance Requirements.
Proficiency In Programming Languages: A Strong Grasp Of Programming Languages Such As Python, Java, And C++ Is Essential For A Machine Learning Engineer At Bytedance. They Should Be Able To Write Efficient And Optimized Code For Data Processing, Analysis, And Model Development.
Data Analysis And Visualization Skills: The Candidate Should Have Experience In Data Analysis And Visualization Tools Such As Pandas, Numpy, And Tableau. They Should Be Able To Extract Insights From Large Datasets And Present Them In A Clear And Concise Manner.
Communication And Collaboration Skills: As A Global Company, Effective Communication And Collaboration Are Crucial For Success At Bytedance. The Candidate Should Have Excellent Communication Skills To Work With Cross-Functional Teams And Stakeholders, Both In Technical And Non-Technical Roles. They Should Also Have The Ability To Present Complex Ml Concepts To Non-Technical Audiences.
statistical analysis
Deep Learning
Computer Vision
Data Visualization
Cloud Computing
Natural language processing
Data Mining
Algorithm development
Predictive modeling
Big Data management
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer - Global Payment in Singapore is between $70,000 to $120,000 per year. This may vary depending on the individual's experience, skills, and the specific company they work for. More experienced Machine Learning Engineers with advanced skills and working in larger companies may earn a higher salary.
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ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Helo, Vigo Video, Douyin, and Huoshan.
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