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 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: Egypt (EG) || Cairo
Req ID: 790169
Skills Required
- Currently 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 in 2027
- Strong written and spoken English skills
- Proven experience with Python
- General software engineering skills, including maintainable code, testing, design principles, and object-oriented programming
- Conceptual understanding of statistics, probability, multivariable calculus, and linear algebra
- Understanding of classical machine learning and deep learning theory
- Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Experience with data manipulation and analysis using Pandas
- Expertise in unsupervised learning and advanced clustering algorithms
- Experience with Python visualization libraries such as Matplotlib, Plotly, or Seaborn
- Experience packaging machine learning work
- Hands-on generative AI experience with LLMs and RAG
- Knowledge of NLP techniques and tools, or experience with generative models such as GPT or BERT
- Hands-on experience fine-tuning LLMs
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
