We are looking for a Data Scientist with a strong interest in modern AI/ML techniques and a passion for Large Language Models (LLMs). Whether you come from a senior background or are a self-taught explorer of new AI tools, what matters most is your ability to experiment, innovate, and deliver.

You will join our R&D team to design, prototype, and deliver AI-powered solutions that enhance Leakmited’s products and create new opportunities for impact.

What you will do

• Lead or contribute to data-driven projects, with a focus on applied AI and LLM-based solutions.

• Experiment with state-of-the-art models (LLMs, transformers, multimodal AI) to solve practical problems in water distribution and infrastructure.

• Collaborate with engineers, product managers, and domain experts to integrate AI into production-grade systems.

• Share your knowledge with the team and contribute to shaping our data science roadmap.

• Stay at the cutting edge of AI research, bringing innovative approaches into the team.

• Strong hands-on expertise with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.).

• Demonstrated interest in LLMs or generative AI (through work experience, research, open-source contributions, or personal projects).

• Solid foundation in statistics, machine learning, and applied mathematics.

• Curiosity, creativity, and a passion for applying AI to solve impactful real-world challenges.

• Bonus: experience with time series, anomaly detection, or optimization problems.

1. Entretien de pré-sélection avec le recruteur – Conversation initiale pour évaluer la compatibilité et présenter le poste.

2. Entretien avec le Head of Data – Évaluation des compétences techniques et de l’expérience en lien avec le poste.

3. Entretien en personne avec l’équipe – Vérification des compétences relationnelles, du match culturel et des connaissances techniques approfondies.

4. Entretien final avec le CEO – Évaluation de l’alignement stratégique et discussion finale sur l’impact potentiel du candidat.

5. Proposition d’offre – Présentation de l’offre et explication des prochaines étapes.