Senior Data Scientist – AI & ML Engineer

Envision Employment Solutions

Senior Data Scientist - AI & ML Engineer delivering end-to-end machine learning solutions for a global consulting leader. Designing scalable AI architectures and driving intelligent automation to add business value.

Posted 7/8/2026full-timeNew Cairo City • 🇪🇬 EgyptSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy AI and machine learning solutions that address business needs.
Build and implement Agentic AI applications using modern AI frameworks.
Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
Optimize models to improve accuracy, scalability, and performance in production environments.
Implement model monitoring, drift detection, and retraining strategies.
Design scalable data pipelines to support machine learning workloads.
Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
Develop and maintain ML-focused CI/CD pipelines.
Implement model versioning, automated testing, and deployment best practices.
Support containerized and cloud-native ML deployments.
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
Architect scalable infrastructure to support enterprise AI applications.
Recommend technology solutions aligned with business and technical requirements.
Ensure AI solutions meet security, reliability, and performance standards.
Partner with business stakeholders to understand objectives and translate them into technical solutions.
Collaborate with cross-functional teams throughout the solution lifecycle.
Mentor junior data scientists and ML engineers.
Promote best practices in machine learning, software engineering, and MLOps.
Stay informed about emerging AI technologies and industry trends.

Requirements

What you’ll need

6-10 years of experience working with complex datasets and solving real-world business problems using AI
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
Strong command of Git and collaborative development workflows.
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
Fluent in Arabic & English, both spoken and written (German is a plus!)
Able to listen to and understand customer needs and articulate them as technical requirements to the team.
Strong problem-solving abilities and attention to detail.
Strategic thinking with the ability to align data science initiatives with business objectives.
Strong leadership and team management skills with the ability to inspire and motivate.
Ability to work collaboratively in a team environment.
Self-motivated with a strong growth mindset.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Envision Employment Solutions Website LinkedIn All Job Openings 11 - 50 employees Founded 2013 🤝 B2B 🎯 Recruiter 👥 HR Tech B2B
Recruitment
HR Tech Envision Employment Solutions is a recruitment agency that provides tailored employment services for clients and candidates. Founded in 2013, the company focuses on matching top talents globally with businesses in need of skilled professionals across various sectors. They offer services like recruitment, headhunting, manpower outsourcing, and both technical and psychometric assessments to ensure a perfect fit for roles, making them a key player in the MENA region's recruitment landscape. Senior Data Scientist – AI & ML Engineer Job not on LinkedIn 🔥 44 minutes ago 🏢🏡 New Cairo City – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🗣️🇸🇦 Arabic Required AWS Azure Cloud Docker Google Cloud Platform Kubernetes Pandas Python PyTorch Scikit-Learn Spark SQL Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and deploy AI and machine learning solutions that address business needs.
Build and implement Agentic AI applications using modern AI frameworks.
Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
Optimize models to improve accuracy, scalability, and performance in production environments.
Implement model monitoring, drift detection, and retraining strategies.
Design scalable data pipelines to support machine learning workloads.
Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
Develop and maintain ML-focused CI/CD pipelines.
Implement model versioning, automated testing, and deployment best practices.
Support containerized and cloud-native ML deployments.
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
Architect scalable infrastructure to support enterprise AI applications.
Recommend technology solutions aligned with business and technical requirements.
Ensure AI solutions meet security, reliability, and performance standards.
Partner with business stakeholders to understand objectives and translate them into technical solutions.
Collaborate with cross-functional teams throughout the solution lifecycle.
Mentor junior data scientists and ML engineers.
Promote best practices in machine learning, software engineering, and MLOps.
Stay informed about emerging AI technologies and industry trends. 🎯 Requirements
6-10 years of experience working with complex datasets and solving real-world business problems using AI
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
Strong command of Git and collaborative development workflows.
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
Fluent in Arabic & English, both spoken and written (German is a plus!)
Able to listen to and understand customer needs and articulate them as technical requirements to the team.
Strong problem-solving abilities and attention to detail.
Strategic thinking with the ability to align data science initiatives with business objectives.
Strong leadership and team management skills with the ability to inspire and motivate.
Ability to work collaboratively in a team environment.
Self-motivated with a strong growth mindset. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Machine LearningAI Solution ArchitectureData PreparationFeature EngineeringModel DevelopmentModel EvaluationModel MonitoringModel VersioningAutomated TestingData Pipeline Design

Soft Skills

Excellent Communication SkillsProblem-Solving AbilitiesStrategic ThinkingLeadership SkillsTeam Collaboration