Please submit your application via KKCompany Group Website as we will prioritize the applications on our website

The role is to lead the team to work to turn business questions and customer requests into data analysis effectively and provide meaningful recommendations. This is a unique hybrid role that will focus on your knowledge of data infrastructure and ability to distill insights into actionable items as well as producize AI-powered products and solutions.
- Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
- Are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines is essential to the success of your team.
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Work closely with data scientists and analysts to create and deploy new product features.
- Contribute to and promote good software engineering practices across the team.
- Knowledge sharing with the team to adopt best practices.
- Actively contribute to and re-use community best practices.
- Create an engaging work environment and culture that encourages innovation and product solution execution as well team member well-beings.

*** The actual salary details will be further discussed with the candidate during the interview process***

Requirements: 

• University or advanced degree in engineering, computer science, mathematics, or a related field.5+ years experience developing and deploying machine learning systems into production.
• Strong experience working with a variety of relational SQL and NoSQL databases.
• Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with at least one cloud provider solution (AWS, GCP, Azure),Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc,Strong knowledge of data pipeline and workflow management tools.
• Industry experience building innovative end-to-end Machine Learning systems.
• Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
• Experience working with distributed systems, service-oriented architectures and designing APIs.
• Ability to work in a Linux environment.
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation,Relevant working experience with Docker and Kubernetes is a big plus.

Preferred Qualification:

• Fluent in English and Mandarin
• Experience in shipping large scale AI-based product or solutions

*** The actual salary details will be further discussed with the candidate during the interview process***