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Selected role

Data Scientist - Artificial Intelligence

Valleysoft القاهرة, C, EG

Senior Full-time

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.

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