About the Opportunity
Are you a recent graduate excited about applying AI, from machine learning models to intelligent agents, to real-world problems?
Here at Ericsson Packet Core, we enable data-driven decision-making and highly automated AI solutions at scale. Our unit consolidates diverse data sources through a centralized data platform and delivers traditional and predictive analytics, machine learning, and generative AI applications to increase operational efficiency across Ericsson Packet Core.
In this position, you will be part of a team of experienced and motivated engineers and contribute to an agile, cross-functional environment where data science and AI are used to improve internal R&D efficiency. You will help build machine learning models, predictive analytics, and GenAI-powered applications such as intelligent agents, supported by the reliable data foundations that make them possible.
What You Will Do- Develop machine learning models and predictive analytics that improve operational efficiency across Ericsson Packet Core.- Build and experiment with generative AI applications, including intelligent agents that automate tasks such as log analysis and technical requirements search.- Turn analytical insights into KPI dashboards and reusable data products that support data-driven decision-making.- Contribute to the data pipelines and data platform that feed and support these models and AI solutions.- Help establish scalable, reliable, and reusable data science and AI capabilities that can be adopted across Ericsson Packet Core.
The Skills You Bring
We expect you to have:- Working knowledge of Python- Foundations in data science and machine learning (e.g., model training, evaluation, optimization)- Strong interest in generative AI and agentic systems (e.g., agent building, knowledge graphs)- Working knowledge of SQL and basic data modelling- Ability to work in a team, collaborate effectively and contribute to shared team goals- Familiarity with the agile way of working- An open and innovative mindset that adapts easily to change- English proficiency, both written and spoken- A degree in Data Science, Computer Science, AI, Software Engineering, or a related field
Nice to have (you'll learn the rest with us):- Exposure to data visualization tools- Exposure to data pipelines and ETL processes (e.g. Airflow)- Basic knowledge of Unix/Linux systems- Understanding of query optimization- Generative AI in depth - agent creation, knowledge graphs, RAG, and vector databases- Agentic AI frameworks and MCP basics- Advanced machine learning and optimization techniques- Exposure to CI/CD Pipelines- Platform engineering, preferably Kubernetes, Docker- Data and application security and governance- NoSQL databases- Basic knowledge of building and maintaining Helm charts
Deadline: 26.10.2026
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: Sweden (SE) || Göteborg
Req ID: 791854
Skills Required
- Working knowledge of Python
- Foundations in data science and machine learning, including model training, evaluation, and optimization
- Strong interest in generative AI and agentic systems
- Working knowledge of SQL and basic data modeling
- Ability to collaborate effectively and contribute to shared team goals
- Familiarity with agile ways of working
- English proficiency, written and spoken
- Degree in Data Science, Computer Science, AI, Software Engineering, or a related field
- Exposure to data visualization tools
- Exposure to data pipelines and ETL processes, such as Airflow
- Basic knowledge of Unix/Linux systems
- Understanding of query optimization
- Knowledge of agent creation, knowledge graphs, RAG, and vector databases
- Familiarity with agentic AI frameworks and MCP
- Advanced machine learning and optimization techniques
- Exposure to CI/CD pipelines
- Platform engineering experience with Kubernetes and Docker
- Knowledge of data and application security and governance
- Knowledge of NoSQL databases
- Basic knowledge of building and maintaining Helm charts
Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
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Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.
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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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.






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