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AI Engineering Intern

Ericsson · Smart Village

جديد
Junior 🇬🇧 English
Python TensorFlow PyTorch Keras Pandas Matplotlib Plotly Seaborn Machine Learning Deep Learning Unsupervised Learning Clustering Algorithms Generative AI Large Language Models (LLMs) Natural Language Processing (NLP) GPT BERT

وصف الوظيفة

About the role

Ericsson is seeking a Data Scientist Intern for its first R&D hub in the Middle East and Africa. The role is open to senior‑year university students pursuing Computer Science, Computer Engineering or a related degree, with an expected graduation in 2027 and strong English communication skills.

Key responsibilities

  • Collaborate with AI Engineering, Data Science, MLOps and Cloud teams to develop and implement machine‑learning models, including generative 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 model performance, provide data‑driven improvement suggestions, and document findings for internal and external presentations.
  • Participate in team meetings and contribute to discussions on project development and innovation.

Required profile

  • Senior‑year student in Computer Science, Computer Engineering or a related field.
  • Expected graduation year: 2027.
  • Very good written and spoken English.

Required skills

  • Proficient in Python and software‑engineering best practices (maintainable code, testing, OOP).
  • Solid understanding of statistics, probability, multivariable calculus and linear algebra.
  • Knowledge of classical machine‑learning and deep‑learning theory.
  • Experience with ML/DL frameworks such as TensorFlow, PyTorch and Keras.
  • Data manipulation and analysis using Pandas.
  • Unsupervised learning techniques and advanced clustering algorithms.
  • Python visualization libraries (Matplotlib, Plotly, Seaborn).
  • Packaging machine‑learning work for deployment.
  • Hands‑on experience with generative AI, LLMs and RAG.
  • Familiarity with NLP techniques and tools; experience with models like GPT or BERT is highly desirable.
  • Fine‑tuning LLMs is a plus.

What we offer

  • Opportunity to work and learn within Ericsson’s sole R&D hub across MEA.
  • Exposure to cutting‑edge AI and generative‑AI projects.
  • An open, inspiring culture that encourages idea generation and innovation.

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Ericsson

Smart Village