Technical Founding Team Member (AI/ML) - Remote

protegey inc. โ€ข Tunisia
Remote
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AI Summary

Join Protegey Inc. as a Technical Founding Team Member (AI/ML) to work on AI- and data-driven systems for fraud detection and risk scoring. This is a hands-on, learning-intensive role ideal for someone early in their career. You will work closely with the CTO, Engineering Lead, and Product Lead on AI/ML features and collaborate with the product, engineering, and data teams.

Key Highlights
Hands-on, learning-intensive role
Work on AI- and data-driven systems
Collaborate with product, engineering, and data teams
Technical Skills Required
Python Data/ML tools
Benefits & Perks
Remote work
Mentorship from experienced engineering and product leaders
Compensation + equity component

Job Description


๐Ÿš€ Weโ€™re Hiring: Technical Founding Team Member (AI / ML) โ€“ Remote

PROTEGEY is building a unified fraud intelligence, risk, and trust infrastructure for Africa, starting with Francophone & Northern Africa.

We operate at the intersection of AI, data, security, and compliance, helping fintechs, banks, and digital platforms detect fraud and operate safely at scale.

Weโ€™re looking for a Technical Founding Team Member to join us early and work closely with our CTO, Engineering Lead, and Product Lead on AI- and data-driven systems.

๐Ÿง  About the Role
This is a hands-on, learning-intensive role, ideal for someone early in their career who wants real exposure to production-grade AI/ML systems.
You donโ€™t need to be an AI expert โ€” what matters is curiosity, strong fundamentals, and the ability to learn fast.

๐Ÿ”ง What Youโ€™ll Do
Work alongside the Engineering and Product leads on AI/ML features
Support the development of fraud detection and risk scoring models
Assist with data preprocessing, feature engineering, and model testing
Participate in product discussions and technical decision-making
Help turn ideas into working prototypes and production features.

๐ŸŽ“ What Youโ€™ll Learn
How AI and ML are applied to fraud detection, risk scoring, and security
How to take ML models from idea โ†’ prototype โ†’ production
Working with real-world datasets, noisy data, and edge cases
Feature engineering and model evaluation in real production environments
How product, engineering, and data teams collaborate in a startup
How to build technology in a regulated, security-sensitive environment.

๐ŸŽฏ Who This Role Is For
Strong interest in AI, Machine Learning, and Data Science
Academic or practical background in Computer Science, Data Science, Engineering, or related fields
Comfortable with Python and basic data/ML tools
Curious, proactive, and eager to learn
Able to work collaboratively in a remote startup environment

๐Ÿ‘‰ Students, recent graduates, and early-career profiles are strongly encouraged to apply.
Language requirements:
Fluent in English and Arabic
French is a strong plus

๐ŸŒ Why Join PROTEGEY?
Join as a founding team / early hire
Mentorship from experienced engineering and product leaders
Compensation + equity component
Fully remote, international team
Build technology that helps protect Africaโ€™s digital infrastructure

๐Ÿ—“ Deadline: 30 January 2026
โฑ Start: Immediately

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