You will be part of a collaborative AI development team working on cutting-edge AI and data technologies. You will receive mentorship and guidance from senior engineers while working on real projects. You will learn the full lifecycle of data and AI systems-from design to production!
You will
- Learn and work with data pipelines using REST APIs, gRPC, and Kafka
- Support ETL process development and data transformation tasks
- Explore and develop machine learning models using Python, TensorFlow, and PyTorch
- Perform data preprocessing and feature engineering for ML projects
- Work with different types of databases (SQL, NoSQL, vector databases)
- Learn data processing with PySpark for larger datasets
- Participate in data quality and validation practices
- Explore and support MLOps implementation and model monitoring
- Participate in code reviews and learn from senior team members
- Collaborate with mentors and team on solving real data challenges
To be successful in the role you must have
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field
- Strong Python, Java and C++ programming skills and passion for learning
- Basic understanding of machine learning concepts and algorithms
- Familiarity with databases and SQL basics
- Good problem-solving skills and logical thinking
- Ability to learn quickly and take on new technical challenges
- Good communication skills in English
- Willingness to work in a team and receive feedback
We also hope to see the following characteristics in you
- Passionate about learning AI and machine learning
- Enjoy working with data and solving data-driven problems
- Curious and eager to explore new technologies
- Willing to learn and tackle technical challenges
- Enjoy collaborating with teammates and asking questions
- Interested in distributed systems and scalability
- Growth mindset and want to develop your skills
- Interested in telecom or networking technologies
Additional beneficial experience
- Experience with Python libraries like pandas, numpy, or scikit-learn
- Familiarity with machine learning frameworks (PyTorch or TensorFlow)
- Basic knowledge of Git and version control
- Understanding of REST APIs or microservices concepts
- Any personal projects involving data analysis or machine learning
- Exposure to Docker or containerization concepts
- Knowledge of SQL and relational databases
- Hackathon or internship experience
What's in it for you?
Launch your career at a global technology leader building next-generation 5G networks. You will learn from experienced engineers, work on real production systems, and develop expertise across the full AI and data engineering stack.
Our team is committed to helping you grow and succeed. You will have mentorship, opportunities to learn new technologies, and access to hackathons and innovation initiatives. You will be part of a diverse, international team working on problems that impact people worldwide.
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: Germany (DE) ||
Req ID: 793799
Skills Required
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related field
- Strong Python, Java, and C++ programming skills
- Basic understanding of machine learning concepts and algorithms
- Familiarity with databases and SQL basics
- Strong problem-solving and logical thinking skills
- Good English communication skills
- Ability to work collaboratively and receive feedback
- Experience with pandas, NumPy, or scikit-learn
- Familiarity with PyTorch or TensorFlow
- Basic knowledge of Git and version control
- Understanding of REST APIs or microservices
- Personal data analysis or machine learning projects
- Exposure to Docker or containerization
- Knowledge of SQL and relational databases
- Hackathon or internship experience
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Retirement Support — An automatic employer contribution of 3% plus up to 4% in matching is outlined for U.S. employees, enabling a potential 7% total employer contribution subject to plan rules. Feedback suggests this is a standout element of the package.
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Leave & Time Off Breadth — The U.S. package specifies at least 15 vacation days for new hires, up to 3 personal days, 11 holidays, and 80 hours of sick time, with flexibility noted in taking time away. Feedback suggests time‑off breadth and usability are strong points.
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Parental & Family Support — Published materials describe up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay, subject to eligibility. Feedback suggests these policies provide meaningful support for families.
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.
