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Urgent! Machine Learning Engineer(A83328A) Job Opening In Singapore, Singapore – Now Hiring Xiaomi Technology
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Overview: Optimize the recommendation quality and user profile on the Mi.com website to provide users the best shopping experience; combine your understanding of product objectives with modern machine learning, NLP and multimodal techniques to improve recommendation result metrics; work with product teams and engineers to deliver features that drive experience optimization of products.
Responsibilities:
Optimize the recommendation quality and user profile on the Mi.com website to provide users the best shopping experience.
Combine understanding of product objectives with modern machine learning, NLP and multimodal techniques to improve recommendation result metrics.
Collaborate with product managers, data scientists and other engineers to deliver features that drive experience optimization of products.
Qualifications:
At least 1 year of hands-on experience in recommender systems, with a solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start).
Bachelor degree or above in computer science or a related technical discipline.
Proficient coding skills and strong algorithm & data structure foundation in Java/Scala.
Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning.
Effective communication and teamwork skills; proficiency in Mandarin is a plus, as the role involves collaboration with teams based in China.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Internet Marketplace Platforms
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1468 jobs in Singapore and 1308 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Xiaomi Technology is currently hiring and seeking a Machine Learning Engineer(A83328A) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer(A83328A) Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Xiaomi Technology adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer(A83328A) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer(A83328A) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning Engineer(A83328A) interview at Xiaomi Technology, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Xiaomi Technology's products or services and be prepared to discuss how you can contribute to their success.
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