Why join Ericsson?
We are a world leader in the rapidly changing environment of communications technology by providing hardware, software, and services to enable the full value of connectivity.
You'll play a part in using your skills and creativity to push the boundaries of what's possible. To build never-seen-before solutions to some of the world's toughest problems.
Join a team of like-minded innovators driven to go beyond the status quo to build what's next.
At Ericsson, you can be an explorer, a change maker, and a force for good.
Our purpose: To create connections that make the unimaginable possible.
Our vision: A world where limitless connectivity improves lives, redefines business, and pioneers a sustainable future.
Our values: Our culture is built on over a century of courageous decisions, in a place where co-creation and collaboration are embedded in the walls and where our core values of professionalism, respect, perseverance, and integrity shine through in everything we do.
About this opportunity
Within Cognitive Software Engineering, you will be working with groundbreaking technology (5G, Automation & Cloud computing) to leverage the power of AI / ML and to develop state of the art software for network design and optimization services.
You will work closely with our experienced data science team to review and integrate AI models and algorithms.
You will get the opportunity to
Conduct data analysis, data preprocessing, and feature engineering.
Review and experiment with different machine learning techniques, supervised and unsupervised learning algorithms.
Validate and fine-tune machine learning models using relevant programming languages and frameworks.
Evaluate and interpret the performance of AI models using appropriate evaluation metrics and statistical methods.
Contribute to team discussions, brainstorming sessions, and knowledge sharing activities to foster a collaborative learning environment.
Key skills
- Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Understanding of fundamental concepts in machine learning, statistical modeling, and data analysis.
- Knowledge of programming languages used in data science, such as Python.
- Familiarity with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge of data processing and statistical methods, hypothesis testing, and experimental design.
- Strong analytical and problem-solving skills, with the ability to work with large datasets and extract meaningful insights.
- Good communication and collaboration skills.
- Fluent English is a must.
- Previous experience or coursework in AI, machine learning, or data science is a plus.
What we offer
Interns:
Interns who join us will enjoy an outstanding chance to make connections, to make change, to make a real difference. We are always looking for interns to become permanent members of our Ericsson team, so you'll have the opportunity to discuss your future with us during your internship.
Grads:
As our future grads, we'll give you the freedom to think big and the capability to fulfill your potential at Ericsson. We are always looking for graduates with inquiring minds who can contribute to our industry-leading solutions and help shape the future of connectivity.
To put it simply, we change how people, businesses, and societies connect, and the results are genuinely exciting, challenging, and often, awe-inspiring.
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