GenAI and Data Scientist

## About this opportunity The DG AI team in PDU Data & Analytics (PDU D&A) is at the forefront of making Ericsson’s R&D and networks truly AI‑native, building AI and GenAI capabilities that transform how we design, develop, test, and operate our products. We work end‑to‑end on AI/ML use cases and 4G/5G network analytics, turning large‑scale data from live networks and development pipelines into actionable insights and intelligent automation for our engineering teams and customers. As part of the wider PDU D&A Data & AI organisation, we drive key GenAI initiatives such as AI‑assisted coding and code review, automated documentation and knowledge graphs, test and CI intelligence, and AI‑powered troubleshooting — all built on top of modern AI‑native assets and frameworks owned by the team. You will join a diverse, cross‑site group of data scientists, ML engineers, software developers and architects who collaborate closely with product teams across BOS to turn data into action together and push the boundaries of what AI can do in telecom R&D. We are looking for a candidate who has just started or will start their professional life and is eager to develop himself /herself with the latest technologies. We work in small teams that use Agile methodology to keep up in a fast-paced business environment, we closely cooperate with Ericsson Research, customer units and service delivery organisation. Our product platform combines Big Data methodologies and solutions with our outstanding complex event processing to build a state-of-the-art analytics and decision management system. ## What you will do * Use AI / ML / LLM algorithms to create new usecases and validate hypothesis * Use and work with Gen AI and Agentic AI frameworks to crate LLM Agents * Develop Telecom Insights with support from domain specialists and a team of data engineers * Improve and build insights * Drive improvements by coming up with new insights related to our products and processes * Build supporting tools and standard methodologies * Collaborate with various teams, such as DevOps teams, BI team and business stakeholders * Help build organizational DevOps/MLOps expertise ensuring continuous learning, knowledge of best practices, and application of these ## You will bring * 1-2 years’ experience in data science (both industry and academy are welcome) * Demonstrated experience with Python: data processing libraries like Pandas, NumPy, and Scikit-learn * Daily use of Gen AI tools and AI agentic frameworks (LangChain, LlamaIndex, LangGraph…) * Familiarity with Machine Learning techniques and libraries * Experience in model creation and prototyping * A good understanding of software development methodologies * Good communication and presentation skills * Solid mathematical, statistical background with strong and creative problem-solving skills * Master’s degree or PhD in data science, mathematics, physics, statistics, computer sciences or any related field * Handson experience with deployment & orchestration tools - Docker, Kubernetes, Helm * Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure) ## It's a huge plus if you have * Experience with Big Data technologies, stream processing (e.g.: Spark, Kafka, SQL over Hadoop) * Proficiency in API development with Fast API, Spring boot, Understanding of O&M – logging, monitoring, fault management, security etc * Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment) * Experience with MLOps with focus on all steps of ML project lifecycle e.g. Data Preparation, Modeling, Deployment, Monitoring (Gitlab, Gitops) * Experience with reporting BI tools (e.g. Spotfire, Tableau, PowerBI) * Ability and willingness to quickly adopt new technologies and/or business domains * Industry experience in building and productizing end-to-end analytics or Machine Learning systems * Working experience in mobile telecommunications industry * Good knowledge of any distributed computing tools such as PySpark, Dask, Ray ## What we offer * A supportive multinational environment, where we believe in teamwork * Work with the latest AI/ML/LLM architecture elements and technologies * Working on the Ericsson Analytics product attached to worldwide 5G deployments * Participate in training with the latest AI/ML technologies and tools * To work with a talented group of data scientists and subject matter experts, who will help to develop new ideas and solve complex problems of the network * Great challenges that will give you the opportunity for continuous learning and advancement in your technical career * To work on big projects that will go into production, so you will not work in your desk drawer * In our view for the continued sharpness of mind, regular brain exercise is required. To ensure this opportunity is provided across the board, trainings and conferences are encouraged and supported. Salary package * Cafeteria fringe benefits (yearly amount of gross 840,000 HUF) * Annual bonus * Benefits after life events (eg.: childbirth) Other * Employee Assistance Program * Life and accident insurance * Wellbeing activities * Company share purchase plan * Referral program * All You Can Move partner Learning & Development * Continuous learning through trainings, workshops, and conferences * Internal and external learning & development opportunities * Language courses Facilities * Modern office in the 11th district * Hybrid working based on our current Home Office Policy * Laptop and mobile phone * Free parking in the secured company underground garage * Bicycle storage, showers and lockers Ericsson Hungary does not provide relocation support or sponsor HU work authorizations for this position. 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: Hungary (HU) || Budapest Req ID: 784689