Discover Graduate Program | Technology | Data Intelligence | 2027
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingComplete customized job rotations in the Data Intelligence department
Work on data preprocessing, model training, and evaluation
Build AI agents and integrate them with external tools and enterprise systems
From the employer’s posting
customized job rotations in the Technology - Data Intelligence department
Hands-on experience with data preprocessing, feature engineering, model training, evaluation, and optimization.
Hands-on experience developing AI agents or multi-agent systems and integrating them with external tools and enterprise systems.
What you’ll bring
All qualificationsCore experience
- Strong background in machine learning algorithms and statistical modeling
- Proficiency in Python with Pandas, NumPy and Scikit-learn
- Knowledge of LLMs, Generative AI, and Agentic AI systems
- Familiarity with LangChain, LangGraph or similar frameworks
- Knowledge of RAG, vector databases and prompt engineering
Qualification wording
Strong knowledge of Machine Learning algorithms, statistical modeling, and data analysis techniques.
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn
Knowledge of LLMs, Generative AI, and Agentic AI systems.
Familiarity with frameworks such as LangChain, LangGraph, or similar tools.
Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
Tools in this posting
- Python
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
Qualifications: * Strong knowledge of Machine Learning algorithms, statistical modeling, and data analysis techniques. * Hands-on experience with data preprocessing, feature engineering, model training, evaluation, and optimization. * Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and preferably PyTorch or TensorFlow. * Good understanding of data analytics, statistical analysis, data visualization, and extracting actionable insights from data. * Knowledge of LLMs, Generative AI, and Agentic AI systems. * Understanding of AI agents, tool/function calling, multi-step reasoning, and workflow orchestration. * Familiarity with frameworks such as LangChain, LangGraph, or similar tools. * Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering. * Experience working with APIs, databases, and data processing pipelines. Preferred Skills:
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 8 days ago
- Recorded sightings
- 54
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on vodafone.eightfold.ai. The employer’s form will show what is required.
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Job description
## Together We Can
Discover global graduate program is a 12 month program to accelerated development that enables talented fresh graduates to develop and grow within Vodafone Egypt. Ultimately these extraordinary graduates become Vodafone’s future leaders through; customized job rotations in the Technology - Data Intelligence department, challenging business exposure, continuous learning journey/development, & corporate networking.
Who can apply?
Fresh graduates with an outstanding academic record (Fresh Grads: any graduates of the year 2025, or 2026 or January 2027, as for males who completed their military service either in 2024 or 2025
A fresh graduate with diverse extracurricular & internship experiences
We are looking for candidates with a strong background in Machine Learning and Data Analytics, with a primary focus on AI, Generative AI, and Agentic AI.
Qualifications:
* Strong knowledge of Machine Learning algorithms, statistical modeling, and data analysis techniques.
* Hands-on experience with data preprocessing, feature engineering, model training, evaluation, and optimization.
* Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and preferably PyTorch or TensorFlow.
* Good understanding of data analytics, statistical analysis, data visualization, and extracting actionable insights from data.
* Knowledge of LLMs, Generative AI, and Agentic AI systems.
* Understanding of AI agents, tool/function calling, multi-step reasoning, and workflow orchestration.
* Familiarity with frameworks such as LangChain, LangGraph, or similar tools.
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
* Experience working with APIs, databases, and data processing pipelines.
Preferred Skills:
* Hands-on experience developing AI agents or multi-agent systems and integrating them with external tools and enterprise systems.
* Familiarity with AI model evaluation, monitoring, deployment, and performance optimization.
* Strong analytical thinking, problem-solving, and communication skills.
Source details
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- Location & working pattern
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