Senior Data Scientist or Senior Machine Learning Engineer

About the job

About the opportunity: It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML), Generative AI and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. Ericsson’s AI Innovation & Incubation Team (AIII) is looking to hire a Senior Data Scientist or Senior Machine Learning Engineer with a strong track record in Applied Research who is passionate about ML and foundation models. In this role, you will be working with a group building foundation models for Telco. What you will do: • Design and build telecom foundation models and domain‑adaptation pipelines for tasks such as channel modelling, resource allocation, network optimization, predictive maintenance, and radio sensing. • Design and maintain scalable, efficient data pipelines and AI/ML workflows for large-scale datasets. • Integrate state-of-the-art AI research techniques into project workflows to drive continuous innovation. • Collaborate with engineering and product teams to translate complex use cases into operational AI solutions. The skills you bring: • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electronics & Communication Engineering, or a related discipline from a reputable institution. A First Class degree is preferred. • Experience: Minimum 8 years of hands-on experience in AI/ML solution development with a focus on foundation models. • Proficient in Python and deep learning frameworks such as PyTorch and TensorFlow; experience with libraries like Hugging Face Transformers. • Strong knowledge of machine learning and deep learning techniques, including large/foundation models, transfer learning, self‑supervised learning, and generative models. • Experience with unstructured data, building/fine-tuning foundation models is a significant plus. • Demonstrated ability to implement new algorithms and methodologies from leading research papers, assessing their scalability and viability for industrialization. • Demonstrated ability to deploy models at scale with considerations for latency, throughput, and resource constraints. • Solid problem-solving skills and capability to work autonomously on complex technical challenges. Nice to have • Proven ability to lead projects end-to-end with minimal supervision. • Excellent communication skills, with a track record of presenting technical findings to senior leadership and diverse audiences. • Experience in writing and presenting white papers, journal articles, or technical blogs is a plus.