AI / ML Engineer Intern

il y a 1 semaine


Rabat, Rabat-Salé-Kénitra, Maroc Invirtus Temps plein 40 000  - 60 000  par an

About Invirtus

IInvirtus is an AI-powered HR tech startup on a mission to transform how

companies evaluate and hire talents. We're building a smarter, faster, and fairer

way to assess candidates — leveraging deep AI analysis to uncover true potential

beyond résumés.

Backed by early-stage investors, we've launched our first product in October 2025.

We're now assembling a world-class team to scale the product and bring it to

market. If you love building impactful tech and want to be part of an ambitious

journey from the ground up — let's talk.

Mission

As an AI/ML Engineer Intern, you'll be at the heart of our R&D efforts to evolve

Invirtus' proprietary intelligence. Your mission will focus on data preparation, deep

experimentation, and enhancement of multimodal AI models used to evaluate

candidate interactions.

You'll work with senior engineers and founders on:

Research and development of Computer Vision and Speech Analysis algorithms

Experimentation with GenAI-native architectures (LLMs, embeddings,

multimodal transformers)

Building and maintaining data pipelines for large-scale evaluation datasets

Contributing to MLOps practices for model training, versioning, and deployment

Continuous performance benchmarking and improvement of AI systems

Responsibilities

Prepare, clean, and structure diverse datasets (video, audio, transcripts)

Contribute to R&D on proprietary CV and speech models

Experiment with open-source GenAI components and evaluate performance

Support the design of model training and validation pipelines

Collaborate on integrating AI models into production (MLOps, monitoring,

scaling)Requirements

Currently pursuing a degree Data Science, Computer Science or AI-related field

Solid programming skills in Python

Some experience with PyTorch or TensorFlow

Interest in Computer Vision, Speech Processing, and Generative AI

Strong analytical mindset and curiosity for R&D experimentation

Bonus: exposure to transformer-based architectures or MLOps tools

Tech Stack : Python – PyTorch – OpenCV – MediaPipe – ffmpeg - LLMs –

Jupyter – Docker – Git – GCP

Conditions

6 months Last Year Paid Internship ( PFE )

Based in Rabat (Hybrid is an option)

Potential full-time opportunity after internship


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