09/04/2026 updated
MK
100 % available
AI Engineer | Machine Learning & NLP Specialist
Sidi bou ali sousse, Tunisia
Only remote
Engineering Degree DiplomaAI AgentsArtificial IntelligenceComputer VisionNvidia CUDAPython (Programming Language)LaTeXMachine LearningNatural Language ProcessingTensorFlowAzure Machine LearningPyTorchLarge Language ModelsDeep LearningGenerative AIMatplotlib
Machine Learning & Deep Learning
Expertise in designing and deploying end-to-end ML pipelines using frameworks such as PyTorch, TensorFlow, and scikit-learn, including CNN, RNN, and Transformer-based architectures for real-world applications.
Natural Language Processing (NLP)
Proficiency in fine-tuning Transformer-based models, building multilingual NLP systems, and implementing conversational AI pipelines using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Computer Vision
Hands-on experience developing and optimizing computer vision models such as YOLOv8 for object detection tasks, including dataset collection, annotation, training, and performance evaluation using metrics like precision, recall, and mAP.
Python & Scientific Computing
Strong command of Python along with libraries such as Pandas, NumPy, Matplotlib, Seaborn, and CUDA Python for data manipulation, analysis, and high-performance computing.
Cloud Computing
Foundational knowledge of cloud platforms including AWS, Azure, and GCP, with a certification in cloud computing fundamentals from Udemy.
Robotics & ROS2
Experience integrating AI models into robotic software architectures using ROS2, enabling real-time communication and task execution in intelligent robotic systems.
Frontend Development
Practical experience in web development using Vue.js, TailwindCSS, and Nuxt.js for building introductory web applications.
Programming Languages & Tools
Proficiency in Python, C, C++, JavaScript, and tools such as Git, GitHub, Jira, Slack, Linux, and Jupyter Notebook for software development and collaboration.
Generative AI & Diffusion Models
Knowledge of generative AI techniques including diffusion models, supported by an NVIDIA certification in Generative AI with Diffusion Models.
Expertise in designing and deploying end-to-end ML pipelines using frameworks such as PyTorch, TensorFlow, and scikit-learn, including CNN, RNN, and Transformer-based architectures for real-world applications.
Natural Language Processing (NLP)
Proficiency in fine-tuning Transformer-based models, building multilingual NLP systems, and implementing conversational AI pipelines using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Computer Vision
Hands-on experience developing and optimizing computer vision models such as YOLOv8 for object detection tasks, including dataset collection, annotation, training, and performance evaluation using metrics like precision, recall, and mAP.
Python & Scientific Computing
Strong command of Python along with libraries such as Pandas, NumPy, Matplotlib, Seaborn, and CUDA Python for data manipulation, analysis, and high-performance computing.
Cloud Computing
Foundational knowledge of cloud platforms including AWS, Azure, and GCP, with a certification in cloud computing fundamentals from Udemy.
Robotics & ROS2
Experience integrating AI models into robotic software architectures using ROS2, enabling real-time communication and task execution in intelligent robotic systems.
Frontend Development
Practical experience in web development using Vue.js, TailwindCSS, and Nuxt.js for building introductory web applications.
Programming Languages & Tools
Proficiency in Python, C, C++, JavaScript, and tools such as Git, GitHub, Jira, Slack, Linux, and Jupyter Notebook for software development and collaboration.
Generative AI & Diffusion Models
Knowledge of generative AI techniques including diffusion models, supported by an NVIDIA certification in Generative AI with Diffusion Models.
Project history
Developed AI-based solutions for intelligent robotic systems focusing on natural language understanding and human-robot interaction. Designed and implemented conversational AI pipelines using LLMs and RAG. Built and optimized multilingual NLP models capable of processing French, English, and Tunisian dialect inputs. Integrated AI models into robotic software architectures to enable real-time communication and task execution.
Development and optimization of deep learning algorithms for trajectory tracking and object manipulation in industrial environments.
Trained a facial recognition model with a dataset of known faces and tested the application on various images and videos to ensure accuracy.