Ericsson Inc. is looking to develop intelligent, autonomous network solutions using agentic AI to create fully autonomous networks that self-optimize without human intervention, pushing the boundaries of telecom network automation in a 5G/telecom context.
Requirements
- Deep knowledge of machine learning fundamentals and neural network algorithms, including classic models and modern architectures.
- Well-versed in Transformer networks and NLP/LLM technologies, as well as other AI techniques like CNNs, RNNs, reinforcement learning, etc.
- Experience building and refining transformer-based LLMs (e.g., GPT-4, LLaMA, etc.) and familiarity with their open-source implementations and APIs is expected.
- Hands-on experience with state-of-the-art generative AI tools, fine tuning approaches such as LoRA/GRPO/SFT/RFT, knowledge of MCP and A2A, and platforms – including working with open-source LLMs and APIs (OpenAI, Anthropic, etc.).
- Knowledge of advanced RAG techniques, prompt engineering, and context engineering for improving LLM responses is highly valued.
- Strong programming skills in Python and proficiency with the modern AI/ML ecosystem.
- Experience with deep learning frameworks (PyTorch, TensorFlow), NLP libraries (HuggingFace Transformers), and AI orchestration frameworks (such as LangGraph or similar) for tool integration.
Responsibilities
- Design, develop, and optimize advanced AI models leveraging large language models (LLMs), context engineering, knowledge graphs, advanced RAG techniques, and agentic AI systems to solve real-world telecom network problems.
- Create and integrate intelligent AI agents capable of tool use and autonomous decision-making for network operations.
- Apply cutting-edge time-series foundation models to telecom data for forecasting and anomaly detection.
- Work closely with telecom domain experts to define ML project objectives and develop algorithms that meet automation goals.
- Collaborate with software engineering teams to prototype and deploy your models into Ericsson’s products for telco network operators, ensuring a seamless transition from proof-of-concept to production deployment.
- Explore new AI technologies and frameworks (e.g. new open-source LLMs, generative AI APIs, agent-based systems) that could improve network automation.
- Share your expertise by mentoring junior data scientists and fostering a culture of experimentation and knowledge-sharing.
Other
- 5–7 years of hands-on experience as a data scientist or AI/ML engineer, with a proven track record of delivering ML solutions end-to-end (from exploration to production).
- A Bachelor’s degree in Computer Science, Data Science, Engineering or related field is required (Master’s/Ph.D. preferred).
- Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position.
- Excellent problem-solving skills and ability to communicate complex AI concepts to cross-functional teams.
- Experience working in an agile, collaborative environment on innovative projects is preferred.
