Graduation Project Mentorship Program
Ericsson
- Location
- Smart Village,Cairo,Egypt; Cairo,Cairo,Egypt
- Work model
- On-Site
- Level
- Mid
- Posted
- 55m ago
Skills
About this role
Join our Team About this opportunity: As the company that created the mobile world, and with more than 54,000 patents to our name, we’ve made it ourbusiness to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform atyour best, shaping the future of technology. This is a place where you're welcomed as your own perfectly uniqueself, and celebrated for the skills, talent, and perspective you bring to the team. Are you in? Come, and be where it begins. We are seeking a senior-year student who meets the following criteria: Pursuing a degree in Computer Science, Computer Engineering, or a related field. Planning a Graduation Project in Data Science, Machine Learning, or Artificial Intelligence . Expected graduation: 2027 Strong written and spoken English skills. As part of this role, you will work with Data Science, Machine Learning Operations & Cloud colleagues and will: Collaborate with data scientists and engineers to develop and implement machine learning models, includinggenerative AI applications. Assist in data collection, processing, and analysis to support ongoing projects. Explore and experiment with state-of-the-art generative AI models, such as large language models (LLMs)and retrieval-augmented generation (RAG). Develop prototypes and proof-of-concept solutions using ML and GenAI technologies. Evaluate ML model performance and suggest improvements based on data-driven insights. Document methodologies, experiments, and findings for internal and external presentations. Participate in team meetings and contribute to discussions on project development and innovation. Knowledge, Skills and Competencies in related areas: Proven experience in Python. Excellent general Software Engineering skills: maintainable code, testing, design principles, Object OrientedProgramming. A good conceptual understanding of statistics, probability, multivariable calculus, and linear algebra. A good understanding of the underlying theory for both classical machine learning as well as deep learningalgorithms. Experience with using ML and DL frameworks (Tensorflow, Pytorch, Keras, etc.). Experience with data manipulation and analysis using Pandas. Expertise in unsupervised learning techniques and advanced clustering algorithms, with a focus on practicalapplication and interpretation of results. Experience with Python Visualization Libraries (Matplotlib, Plotly, Seaborn, etc.). Experience in packaging machine learning work. Demonstrated skills in Generative AI, with hands-on experience in working with LLMs and RAGs. Knowledge of natural language processing (NLP) techniques and tools, or experience with generative modelslike GPT or BERT is highly desirable. Hands-on involvement in fine tuning LLMs is a bonus. What we are offering you: Getting the opportunity to work with and learn from the only R&D Hub in Ericsson across MEA. Explore your passion for innovation and your desire to join a leader. You’ll enjoy an open, inspiring culturethat encourages idea generation and thought exploration. Working in an international environment with colleagues from all over the world. Continuous on the job training, in classrooms and via e-learning. A mentor and buddy program. 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