Support RAN product AI initiatives by integrating Ericsson LLM into product issue analysis, building chatbots and knowledge graphs, collaborating with subject-matter experts, optimizing chatbot/platform integration, applying new AI technologies, and participating in team technical exchanges.
Join our Team
What you will do:
The skills you bring:
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: China (CN) || Beijing
Req ID: 779108
What you will do:
- Leverage Ericsson LLM into product issue analysis and develop the chatbot to provide solution to related technical question, and generate knowledge graph for specific areas in RAN products.
- Interact with sub-matter experts across functions/sites, bring efficient ideas into development Operation environment for RAN product continuous integration via generative AI concept.
- Keep abreast of the latest technological developments in the AI field and apply new technologies to the construction and optimization the existing platforms.
- Assist in solving technical challenges encountered in the construction of chatbot platforms, continuously optimize integration processes and methods.
- Participate in technical exchanges and sharing within the team to enhance the overall AI capabilities into product development.
The skills you bring:
- Master's or Ph.D. degree in Computer Science, Software Engineering, Artificial Intelligence, or related fields, with a strong interest in the AI domain.
- Proficiency in at least one programming language (e.g., Python, Java), with a solid foundation in programming.
- Understanding of basic AI principles and common algorithms, preferably with experience in AI projects such as machine learning, deep learning, and large models.
- Familiarity with software testing processes and methods, with in-depth understanding and experience in automated testing preferred.
- Excellent communication skills and teamwork spirit, with the ability to think independently and solve problems.
- Strong learning and adaptation abilities, capable of quickly mastering new technologies and applying them in practical work.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: China (CN) || Beijing
Req ID: 779108
Top Skills
Automated Testing
Deep Learning
Ericsson Llm
Generative Ai
Java
Knowledge Graph
Large Language Models
Machine Learning
Python
Ran
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