🌐 Welcome to TANITAI

Tanit AI is a healthcare technology startup pioneering neuro-symbolic AI to transform fertility and reproductive medicine. In a world where 1 in 6 people are affected by infertility, our mission is to elevate fertility practice for doctors and empower patients in their parenthood journey

➡ Mission

At Tanit AI, our mission is to leverage advanced artificial intelligence to educate and support individuals in their fertility journey.

We strive to provide accessible, personalized information and guidance to help people make informed decisions about their reproductive health.

➡ Vision

Our vision is to be a global leader in AI-driven fertility education, fostering a future where technology and human understanding converge to address critical reproductive health challenges. We aim to empower individuals worldwide with the knowledge and tools needed to navigate their fertility journey with confidence.

Role Description

We are seeking a driven Machine Learning/Data Science Intern to contribute to the design, development and deployment of AI-driven solutions for clinical decision support in reproductive medicine. The internship offers a unique opportunity to work at the intersection of AI and medicine, solving impactful challenges and transforming medical data into interpretable, explainable and high-impact predictive models.

Key Responsibilities

• 🔧 Perform data preprocessing, feature engineering and structuring of complex datasets (text, PDFs, medical records) for ML/DL pipelines and model integration.
• 🐍 Design, develop, and deploy AI models and backend solutions using Python and FastAPI.
• 🤖 Support the development and optimization of ML and LLM applications.
• 🧠 Develop and implement Explainable AI (XAI) techniques to analyze model decisions, visualize feature importance and ensure transparency and interpretability in ML/DL models.
• 🕸️ Work with knowledge graphs (Neo4j) and SQL Databases.
• 🔗 Build and maintain APIs and services (REST/WebSocket).
• 📊 Analyze model performance using relevant metrics and iterate to improve accuracy.
• 🩺 Collaborate with healthcare professionals and AI/data engineers to ensure models align with domain-specific requirements and clinical contexts.
• 🧼 Write clean, maintainable and documented code following best practices.

Required Skills

• 🐍 Proficiency in Python and major ML libraries: TensorFlow, PyTorch, Scikit-learn, pandas, NumPy.
• 📘 Strong understanding of machine learning, data mining and data analysis.
• 🏥 Experience with EHR data or healthcare-related datasets (preferred).
• 🧩 Knowledge of backend frameworks (FastAPI, Flask) and experience with frontend-backend integration for AI features.