Alasuite

About the Company

Alasuite développe des produits d'intelligence artificielle locale permettant aux établissements de santé de libérer leurs soignants des tâches administratives pour qu'ils se consacrent pleinement à l'essentiel : le soin.
Et qu’ils puissent innover dans leur coeur de métier.

Des solutions concrètes et personnalisées, pour un double retour sur investissement : le bien-être des équipes et la performance économique.

Listed Jobs

Company Name

Alasuite

Job Title

Business Developer IA & Santé (Stage, Alternance, Apprentissage)

Job Description

**Job Title:** Business Developer (Internship, Apprenticeship, Traineeship) **Role Summary:** Drive growth by prospecting B2B clients in healthcare, social healthcare, and public innovation sectors as a sales-focused intern/apprentice. Position the company’s on-premise AI solutions at the forefront of human-centric technology deployments. **Expectations:** Initiative in cold outreach (calls/emails), managing full sales cycles to contract closure, collaborating with project teams on client deployment, and contributing to process/stategy improvements. Prioritize converting curiosity into actionable partnerships. **Key Responsibilities:** 1. Identify and qualify B2B prospects in healthcare, social healthcare, public innovation, and international markets. 2. Execute cold outreach (calls/emails) to establish strategic client connections. 3. Guide leads through sales cycles, including demo coordination, client follow-ups, and post-contract onboarding. 4. Partner with project teams to ensure client satisfaction during solution implementation. 5. Propose optimizations for sales tools, workflows, and marketing/strategy alignment. **Required Skills:** - Proactive sales mindset with closing, follow-up, and cold outreach experience (B2B or SaaS a plus). - Proficiency with CRM tools, LinkedIn, and digital sales platforms; basic AI tool familiarity. - Strong interpersonal communication, clarity in client relations, and adaptability in a fast-paced startup environment. **Required Education & Certifications:** Related field of study preferred (business, technology, healthcare). Certifications not required.

Paris, France

Hybrid

12-02-2026

Company Name

Alasuite

Job Title

Data Scientist / IA Engineer (stage, alternance, apprentissage)

Job Description

Job title: Data Scientist / AI Engineer (Internship/Apprenticeship) Role Summary: Develop and fine‑tune large language models (LLMs) and other AI solutions to deliver impactful, ethical products for the health, medical‑social, and public‑innovation sectors. Expectations: - Acquire hands‑on experience with cutting‑edge AI tools and augmented IDEs (e.g., Cursor, Copilot, AI agents). - Demonstrate ability to clean, explore, and structure textual and semantic data. - Deliver actionable insights and prototypes that can be deployed in real‑world client contexts. Key Responsibilities: - Analyze raw datasets, focusing on text semantics and structure, and transform them into production‑ready resources. - Perform data cleaning, preprocessing, and feature engineering for NLP tasks. - Fine‑tune LLMs using frameworks such as PyTorch and Hugging Face to meet domain‑specific requirements. - Experiment with AI architectures, optimizing layers, batch sizes, and testing novel approaches. - Collaborate with AI agents and augmented development platforms to accelerate prototype creation. - Propose innovative data‑driven and AI strategies that add value for clients. Required Skills: - Proficiency in data exploration, cleaning, and semantic analysis. - Experience with Python, PyTorch, Hugging Face, or equivalent deep‑learning libraries. - Familiarity with LLM fine‑tuning, layer internals, and batch optimization. - Comfortable using AI‑augmented IDEs (Cursor, Copilot) and co‑development agents. - Strong curiosity, creativity, and a proactive mindset to experiment and iterate. - Basic understanding of NLP concepts and embeddings is a plus. - Sensitivity to health‑sector impacts and ethical AI considerations. Required Education & Certifications: - Currently pursuing or recently completed a Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, NLP, or a related field. - Formal training or certifications in deep learning, NLP, or AI (e.g., courses from Coursera, edX, or similar) is desirable. ---

Paris, France

Hybrid

13-02-2026