# Data Scientist - Artificial Intelligence

> Valleysoft · Cairo, Egypt · Full-time · Posted 2026-07-20

**Workplace:** on_site

## Description

Valleysoft is a regional IT services provider delivering enterprise application development, process management, IT support, and a broad range of technology solutions for global clients. Working across the information technology and services sector, the company helps organizations solve complex business problems through practical, scalable digital solutions.

As a Data Scientist – Artificial Intelligence, you will help shape AI-driven solutions that turn data into business value. This role is focused on applying advanced data science, machine learning, and generative AI techniques to real-world challenges, partnering closely with technical teams and business stakeholders to deliver solutions that are innovative, reliable, and aligned with business goals.

### Responsibilities

-   Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.
-   Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
-   Build predictive, classification, clustering, recommendation, and forecasting models.
-   Develop and optimize Deep Learning models using modern AI frameworks.
-   Design and implement Generative AI solutions using Large Language Models (LLMs).
-   Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.
-   Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).
-   Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.
-   Deploy, monitor, and maintain machine learning models using MLOps best practices.
-   Evaluate and improve model performance using appropriate statistical and machine learning metrics.
-   Work closely with business stakeholders to translate business requirements into AI-driven solutions.
-   Develop technical documentation, model documentation, and solution architecture artifacts.
-   Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.
-   Stay current with emerging AI technologies, frameworks, and industry best practices.

## Requirements

-   Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
-   Min 7 **years** of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence.
-   Strong experience developing and deploying AI/ML models in enterprise environments.
-   Excellent analytical, problem-solving, and communication skills.
-   Experience working in Agile development environments.

**Technical Skills:**

**Programming Languages**

-   Python
-   SQL
-   R (Preferred)

**Machine Learning & Data Science**

-   Scikit-learn
-   XGBoost
-   LightGBM
-   Statistical Modeling
-   Predictive Analytics
-   Time Series Forecasting
-   Classification & Regression
-   Clustering
-   Recommendation Systems
-   Feature Engineering

**Deep Learning**

-   TensorFlow
-   PyTorch
-   Keras

**Generative AI**

-   Large Language Models (LLMs)
-   Prompt Engineering
-   Retrieval-Augmented Generation (RAG)
-   LangChain
-   LlamaIndex
-   AI Agents
-   Vector Databases (FAISS, ChromaDB, Pinecone)

**IBM AI & Data Platform**

-   IBM watsonx.ai
-   IBM watsonx.data
-   IBM watsonx.governance
-   IBM Cloud Pak for Data
-   IBM Knowledge Catalog
-   IBM Db2
-   IBM SPSS Modeler (Preferred)

**Data Engineering**

-   Apache Spark
-   Hadoop
-   Apache Kafka
-   Apache Airflow
-   Pandas
-   NumPy
-   ETL Pipelines

**Databases**

-   PostgreSQL
-   Oracle Database
-   Microsoft SQL Server
-   MongoDB

**Cloud Platforms**

-   IBM Cloud
-   Microsoft Azure
-   Amazon Web Services (AWS)
-   Google Cloud Platform (GCP)

**MLOps & DevOps**

-   MLflow
-   Docker
-   Kubernetes
-   Git
-   Jenkins
-   CI/CD Pipelines

**Data Visualization**

-   Power BI
-   Tableau
-   Matplotlib
-   Plotly

**Preferred Skills**

-   Experience developing enterprise AI solutions using IBM watsonx platform.
-   Experience building AI-powered applications using LLMs and RAG architectures.
-   Knowledge of Natural Language Processing (NLP) and Computer Vision.
-   Experience with Explainable AI (XAI) and Responsible AI principles.
-   Familiarity with Data Governance and AI Governance frameworks.
-   Experience integrating AI models with REST APIs and microservices.
-   Understanding of distributed computing and Big Data technologies.
-   Experience working in Agile/Scrum teams.

**Soft Skills**

-   Strong analytical and critical thinking skills.
-   Excellent problem-solving abilities.
-   Strong verbal and written communication skills.
-   Ability to work collaboratively within cross-functional teams.
-   Strong stakeholder management skills.
-   Ability to manage multiple priorities in a fast-paced environment.
-   Passion for innovation, continuous learning, and emerging AI technologies.

**Preferred Certifications**

-   IBM watsonx AI Certification
-   IBM AI Engineering Professional Certificate
-   Microsoft Certified: Azure AI Engineer Associate
-   AWS Certified Machine Learning – Specialty
-   Google Professional Machine Learning Engineer
-   Databricks Certified Machine Learning Professional

## Benefits

-   Private Health Insurance.
-   Training & Development.
-   Opportunities for professional growth and development in a cutting-edge field.
-   A collaborative and inclusive work environment.
-   The chance to work on impactful projects with a team of passionate experts.

## Apply

[Apply at Valleysoft](https://apply.workable.com/valleysoft-1/j/76B9AC8E04/apply)

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