About the company Ziktalk (Ed-tech 교육 산업) Ziktalk is a global knowledge-sharing social platform. Launched in 2016, Ziktalk currently has around 330,000 users from all around the world. We are looking for a skilled AI Engineer who will improve our app and positively impact thousands of users worldwide.
Job Category : AI engineer
Job Title : AI engineer
Experience Level: Mid-level (up to 8 years) 5-8년 경력
Preferred Korean language proficiency : No preference 상관없음
Work location : On-location, in Seoul
Type of contract : Fulltime
Salary Range (monthly) : KRW3,000,001 - 5,000,000 / 300 - 500만원
Responsibilities:
Develop algorithm for news feed recommendations
Develop algorithm for friend recommendations
Develop AI chatbot
Develop facial recognition algorithm
Research and analyze the latest technology required for AI implementations
Research machine learning algorithms
Qualifications
At least 5 years experience in artificial intelligence (5 years' work experience for bachelor's
degree holders, 3 years' work experience for master's degree holders)
Experience in planning and developing AI algorithms
Benefits
Lunch, snacks, and drinks provided by company
Office located near Hapjeong station (5 minute walk)
Vibrant environment with a team of passionate individuals
The opportunity to be an early member of a growing tech start-up
Great working culture
Hiring Process
Application -> Resume screening -> Interview with CEO and lead developer -> Negotiation -> Final Hiring
Please apply through LinkedIn or submit your resume to business@ziktalk.com. For any inquiries or questions, please contact ryan@ziktalk.com.
Employer preferences: Located in South Korea.
Contact: yessen@ziktalk.com
AI engineers are at the forefront of technological innovation, designing and developing algorithms and models that enable machines to perform tasks that typically require human intelligence. They work with vast datasets, utilize machine learning, and implement deep learning techniques to create intelligent systems. Their expertise is crucial in advancing fields such as natural language processing, robotics, and autonomous vehicles, driving the future of technology.