Machine Learning Engineer

Qantev is the most advanced AI Platform dedicated to helping health insurers deliver superior healthcare and claims experience to their members.

By leveraging insurers' historical health claims data and applying advanced Machine Learning techniques and Generative AI, Qantev predicts patient journeys, optimizes healthcare outcomes and streamlines healthcare payers operations.

Founded in 2018 and backed by top investors and industry leaders, we are a team of over 80 talented and diverse professionals based in Paris and Hong Kong, serving clients across Europe, the United States, Latin America, Asia, and the Middle East.

Together, we are revolutionizing the insurance claims landscape with AI-driven solutions

About the Role

You will shape Qantev's next-generation AI models, from information extraction to anomaly detection.

Your work will power document understanding, medical code inference, and scalable fraud detection architectures.

You will occupy a central position in the model development lifecycle, writing high-quality production code for our inference server, aligning closely with the product and platform teams,

and designing automated evaluation pipelines to continuously assess and improve performance.

Responsibilities

• Model Design : Architect and develop deep learning models for NLP (transformers, VLMs), anomaly detection (GNNs, autoencoders), and UI-L integration.
• Custom Solutions : Build and fine-tune domain-specific LLMs or vision-language models for document OCR, field extraction, and medical inference.
• Scalable Infrastructure : Design model-serving pipelines, considering batching, sharding, quantization, and monitoring.
• Continuous Learning : Implement active learning and feedback loops to retrain models based on investigator annotations.
• Performance Analysis : Define and track precision, recall, NGCD, and other metrics; conduct A / B tests and rule simulations.
• Collaboration : Work closely with MLOps, data engineers, and product teams to deploy models in production and iterate rapidly.

Required Qualifications

Nice-to-Have

Recruitment Process

building and evaluation.

pipelines.

A propos du poste

Vous façonnerez les modèles d'IA de nouvelle génération de Qantev, de l'extraction d'informations à la détection d'anomalies. Votre travail alimentera la compréhension des documents, l'inférence du code médical et les architectures évolutives de détection des fraudes. Vous occuperez une position centrale dans le cycle de vie du développement des modèles, en écrivant du code de production de haute qualité pour notre serveur d'inférence, en vous alignant étroitement avec les équipes produit et plateforme, et en concevant des pipelines d'évaluation automatisés pour évaluer et améliorer continuellement les performances.

Responsabilités

Qualifications requises

Compétences

Processus de recrutement

At Qantev, Diversity, Equity and Inclusion is a core principle that drives innovation and success. We are committed to building a global workforce that reflects the rich variety of backgrounds, experiences, and perspectives that make up our world. We hire and embrace applications with no regard to race, ethnic origin, sexual orientation, physical or mental disability, pregnancy, medical condition, gender expression or identity, religion, marital status, age or other non-merit criteria.

This is not a trend for us-it's an integral part of who we are and how we work.

Qantev is proud to foster an environment where everyone has equal access to opportunities, and where each individual can bring their authentic self to the table. We will always strive to welcome applicants of all backgrounds and will remain dedicated to building a team where all voices are heard and all talents are celebrated.

Qantev does not accept unsolicited employment agencies' or headhunter's resumes. We will not pay any third-party that does not have a pre-signed agreement with us. Any unsolicited CVs are deemed to be the property of Qantev and its subsidiaries.