What You'll Do Build and evaluate machine learning models to solve business problems. Analyze data and generate actionable insights. Visualize results and communicate findings clearly. Document experiments, assumptions, …
Skills: Python, Data Analysis, Machine Learning, Analytical Skills, Problem Solving
What You'll Do Build and evaluate machine learning models to solve business problems. Analyze data and generate actionable insights. Visualize results and communicate findings clearly. Document experiments, assumptions, …
Skills: Python, Machine learning, Data analysis, Problem-solving, Analytical skills
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Temporary
bachelor degree
Work On Real Industrial AI And Machine Learning Use Cases, Mentorship From Experienced Product And Engineering Professionals, Skill Development In Data Analysis And Applied AI, Contribution To Innovative Projects With Business Impact, Career Foundation In Data Science And Machine Learning
Posted 52d ago
~40 hrs/week
Responsibilities
Build and evaluate machine learning models to solve business problems and generate actionable insights from data. Collaborate with Product and Engineering teams to visualize results and document model performance.
Requirements
Candidates must be pursuing or have recently completed a degree in Computer Science, AI, Data Science, or Computer Engineering. Proficiency in Python and a strong understanding of machine learning fundamentals are required.
Full job description
What You'll Do
Build and evaluate machine learning models to solve business problems.
Analyze data and generate actionable insights.
Visualize results and communicate findings clearly.
Document experiments, assumptions, and model performance.
Collaborate with Product and Engineering teams to support data-driven improvements.
Requirements
Education
Currently pursuing or recently completed (2025 or 2026) a degree in:
Computer Science, Artificial Intelligence, Data Science, Computer Engineering
Good knowledge of Python.
Understanding of data analysis and machine learning fundamentals.
Strong analytical and problem-solving skills.
Curiosity and eagerness to learn.
Attention to detail.
Good communication and documentation skills.
Ability to work collaboratively in a team environment.
Benefits
Why Join Us?
Work on real industrial AI and machine learning use cases.
Learn from experienced Product and Engineering professionals.
Develop skills in data analysis, machine learning, and applied AI.
Contribute to innovative projects with direct business impact.
Build a strong foundation for a career in Data Science and Machine Learning.
Related keywords
Data ScienceMachine LearningArtificial IntelligencePythonData AnalysisApplied AIComputer ScienceComputer EngineeringModel EvaluationData Visualization
INDOS digitizes discrete manufacturing by combining industrial expertise, IoT, and AI-driven intelligence.
Industry
Technology, Information and Internet
Company size
11-50 employees
Founded
2017
Headquarters
Second Al Sheikh Zayed , Giza Governorate
LinkedIn followers
8,098
Total funding
$600K
INDOS is a technology company transforming discrete manufacturing through Smart Manufacturing technologies, Manufacturing Operations Management (MOM), AI, IoT, and Industry 4.0 solutions, making smart factories simpler, practical, and fully supported for real industrial environments.
Our flagship platform, Garment IO, is deployed across 40+ factories in the MENA region, delivering real time production visibility, AI powered operational recommendations, operator performance tracking, and production costing from cutting to packing.
Built for high volume and labor intensive industries, our solutions help manufacturers digitize operations, optimize production efficiency, and make faster data driven decisions across the shop floor.
INDOS supports industries including apparel, furniture, metal formation, household appliances, and other discrete manufacturing sectors, bridging factory execution with intelligent operations and connected factory systems.
With deep expertise in Apparel Tech, MOM, Factory Digitization, and Industrial AI, INDOS enables manufacturers to move toward scalable, efficient, and fully connected operations.
Recognized by global innovation and technology platforms including the Milken Institute and SusHi Tech Tokyo 2026.
Smart Manufacturing Made Simple.
Offices: Karma 4 Mall, B15, Second Al Sheikh Zayed , Giza Governorate 3243101, EG · Building 1, Neighborhood 1 10th District, 1, Sheikh Zayed, Giza 12588, EG
INDOS digitizes discrete manufacturing by combining industrial expertise, IoT, and AI-driven intelligence.
Industry
Technology, Information and Internet
Company size
11-50 employees
Founded
2017
Headquarters
Second Al Sheikh Zayed , Giza Governorate
LinkedIn followers
8,098
Total funding
$600K
INDOS is a technology company transforming discrete manufacturing through Smart Manufacturing technologies, Manufacturing Operations Management (MOM), AI, IoT, and Industry 4.0 solutions, making smart factories simpler, practical, and fully supported for real industrial environments.
Our flagship platform, Garment IO, is deployed across 40+ factories in the MENA region, delivering real time production visibility, AI powered operational recommendations, operator performance tracking, and production costing from cutting to packing.
Built for high volume and labor intensive industries, our solutions help manufacturers digitize operations, optimize production efficiency, and make faster data driven decisions across the shop floor.
INDOS supports industries including apparel, furniture, metal formation, household appliances, and other discrete manufacturing sectors, bridging factory execution with intelligent operations and connected factory systems.
With deep expertise in Apparel Tech, MOM, Factory Digitization, and Industrial AI, INDOS enables manufacturers to move toward scalable, efficient, and fully connected operations.
Recognized by global innovation and technology platforms including the Milken Institute and SusHi Tech Tokyo 2026.
Smart Manufacturing Made Simple.
Offices: Karma 4 Mall, B15, Second Al Sheikh Zayed , Giza Governorate 3243101, EG · Building 1, Neighborhood 1 10th District, 1, Sheikh Zayed, Giza 12588, EG