Responsibilities
- Participate in AI and machine learning model development, evaluation, and optimization.
- Apply machine learning and deep learning techniques to business and engineering challenges.
- Experiment with generative AI, large language models, retrieval-augmented generation, AI agents, and workflow automation.
- Collect, process, analyze, and govern structured and unstructured data.
- Support the development and maintenance of data pipelines and data platforms.
- Develop dashboards, reports, and visualizations that provide actionable insights.
- Explore emerging AI technologies and propose innovative use cases.
Requirements
- Master’s degree in Artificial Intelligence, Data Science, Software Engineering, Computer Science, Electrical Engineering, or Mathematics.
- Hands-on experience or strong interest in large language models, generative AI, AI agents, and retrieval-augmented generation.
- Familiarity with OpenAI, Azure AI, LangChain, Semantic Kernel, MCP, or similar AI development ecosystems is desirable.
- Knowledge of machine learning fundamentals and data analytics techniques.
- Understanding of data structures, algorithms, and software engineering fundamentals.
- Strong analytical, problem-solving, communication, teamwork, curiosity, initiative, and willingness to learn and experiment.
- Good verbal and written English communication skills.
Benefits
- Structured learning journey, mentorship, and hands-on opportunities to contribute to real-world AI transformation initiatives.
- Opportunity to work with diverse innovators on challenging AI and engineering problems.
- Work location: Beijing, China.
Categories
About Ericsson
The future of mobile isn’t on the horizon, it’s happening now. At Ericsson, we’re building the foundation for an open network ecosystem where industries, developers, and enterprises thrive. The convergence of 5G, AI, cloud, and network APIs isn’t just a technological shift; it’s a transformation that is redefining industries and enhancing everyday life. Open, programmable networks are enabling real-time innovation and unlocking new business models across the globe. Imagine a world where developers can dynamically access network capabilities on demand, where enterprises don’t just use connectivity but shape it. This isn’t a distant vision, it’s the ecosystem we’re creating today. Collaboration fuels everything we do. By working across industries, we’re designing a future where connectivity isn’t just seamless. It’s intelligent, programmable, and transformative. The shift is happening. Are you part of it?