Meet our Job Legitimacy Checker — manually verified job postings you can trust ›

Artificial Intelligence Engineer

Location
Italy
Rate, USD
Not specified
Work schedule
Full Time, Part Time,
Language skills
English, French
Available for Hire
Yes
Hire me

Hire me

Jobicy Account
You need an employer account to access the resume database.
Log in to save

About me

I am Fatma Bouhari, an Artificial Intelligence Engineer with a strong academic background and hands-on experience in AI research, machine learning, and software development. Currently, I am pursuing an Engineering Degree specializing in Computer Networks and Telecommunications at the National Institute of Applied Science and Technology (INSAT) in Tunis, Tunisia. Previously, I earned a Bachelor’s Degree in Computer Systems Engineering with a specialization in Internet of Things and Embedded Systems from the Faculty of Sciences of Tunis, graduating with high honors.

My professional journey includes an internship at the University of Cassino and Southern Lazio in Italy, where I designed AI workflows for handwriting analysis to study learning patterns and motor coordination in children. I developed machine learning models using genetic programming, clustering algorithms, and deep learning techniques, applying image processing and segmentation methods to extract meaningful features.

Currently, I work part-time as an Artificial Intelligence Engineer at Nartaq in Paris, where I design AI-driven workflows to evaluate startup pitch decks and build compatibility scoring engines for investors. I develop end-to-end AI pipelines using Python, LangChain, Docker, and large language models to analyze unstructured documents and create AI-powered chatbots to support investment decision-making.

Previously, I interned at SFM Technologies in Paris, focusing on data analysis of electrical sensor data, anomaly detection, and predictive monitoring using machine learning and deep learning models. I also contributed to DevOps by building CI/CD pipelines with GitHub Actions and integrating AI-assisted tools for system diagnostics.

My technical skills span programming languages including Python, PHP, C/C++, Java, and Rust; data engineering and BI tools; DevOps practices; networking and security protocols; IoT and embedded systems; and AI and data science frameworks. I am fluent in French and have professional working proficiency in English. I hold Cisco Certified Network Associate certifications covering networking fundamentals and security.

I am passionate about leveraging AI and machine learning to solve complex problems and drive innovation in technology-driven environments. I am eager to contribute my expertise to challenging projects and continue growing as a professional in the AI and data science fields.




Education

2023- Present Engineering Degree in Computer Networks and Telecommunications @ National Institute of Applied Science and Technology (INSAT), Tunis, Tunisia
2020-2023 Bachelor of Computer Systems Engineering, Specialization in Internet of Things and Embedded Systems @ Faculty of Sciences of Tunis, Tunis, Tunisia

Graduated with High Honors, GPA: 16.09/20


Experience

Feb 2026 – Jun 2026 Artificial Intelligence Research Intern @ University of Cassino and Southern Lazio (UNICAS), Cassino, Italy

Designed AI research workflow for handwriting analysis to study learning patterns and motor coordination in children. Developed machine learning models using genetic programming, clustering algorithms, and deep learning techniques. Applied image processing and segmentation techniques to extract structural features from handwriting images. Processed multimodal datasets using Python for feature engineering, model training, and evaluation.

Jan 2025 – Present Artificial Intelligence Engineer (Part time) @ Nartaq, Paris, France

Designed AI-driven startup evaluation workflow to assess pitch decks using structured criteria. Developed startup-investor compatibility scoring engine integrating weighted logic and deal-breaker rules. Built end-to-end AI pipeline using Python, LangChain, Docker, and LLMs to analyze unstructured pitch deck documents. Implemented web-grounding techniques and prompt-engineered workflows. Developed AI-powered chatbots for interactive startup analysis and investment decision support.

Jun 2024 – Oct 2024 Data, Machine Learning & DevOps Intern @ SFM Technologies, Paris, France

Analyzed electrical sensor data to monitor energy consumption and power levels. Developed machine learning and deep learning models for anomaly detection and predictive monitoring. Built and maintained CI/CD pipelines using GitHub Actions. Developed AI-assisted DevOps pipeline integrating chatbot for automated log analysis, error detection, and system diagnostics.


Recommend this talent

Recommend this specialist

Jobicy+ Subscription

Jobicy

592 professionals pay to access exclusive and experimental features on Jobicy

Free

USD $0/month

For people just getting started

  • • Unlimited applies and searches
  • • Access on web and mobile apps
  • • Weekly job alerts
  • • Access to additional tools like Bookmarks, Applications, and more

Plus

USD $8/month

Everything in Free, and:

  • • Ad-free experience
  • • Daily job alerts
  • • Personal career consultant
  • • AI-powered job advice
  • • Featured & Pinned Resume
  • • Custom Resume URL
Go to account ›