Data Engineer: AI, GenAI Analytics & Pipelines

Ericsson

Göteborgs kommun

On-site

SEK 600,000 - 850,000

Full time

6 days ago
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Job summary

Ericsson is seeking a newly graduated data science/AI professional to help build machine learning models, predictive analytics, and GenAI-powered applications within the Packet Core team. You will turn insights into KPI dashboards and contribute to scalable data pipelines, collaborating in an agile environment.

You will work with Python, SQL, and data modelling, with exposure to Airflow, Kubernetes, Docker, and NoSQL databases. Strong English skills and a degree in a related field are required.

Qualifications

  • Degree in Data Science, Computer Science, AI, Software Engineering, or related field.
  • Strong knowledge of Python, ML, and data modelling.
  • Experience with agile methodologies and collaborative teamwork.
  • English proficiency in written and spoken communication.

Responsibilities

  • Develop machine learning models and predictive analytics to improve operational efficiency across Ericsson Packet Core.
  • Build and experiment with generative AI applications, including intelligent agents.
  • Create KPI dashboards and reusable data products to support data-driven decision-making.
  • Contribute to data pipelines and the data platform that feed these models and AI solutions.

Skills

Python
Data Science
Generative AI
SQL
Data Modelling
Teamwork
Agile
English
Airflow
Unix/Linux
Kubernetes
Docker
NoSQL
Helm

Education

Data Science / Computer Science / AI / Software Engineering or related field

Tools

Airflow
Unix/Linux
Kubernetes
Docker
NoSQL
Helm

Job description

Ericsson is seeking a newly graduated data science/AI professional to help build machine learning models, predictive analytics, and GenAI-powered applications within the Packet Core team. You will turn insights into KPI dashboards and contribute to scalable data pipelines, collaborating in an agile environment.

You will work with Python, SQL, and data modelling, with exposure to Airflow, Kubernetes, Docker, and NoSQL databases. Strong English skills and a degree in a related field are required.

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