Senior Data Engineer

Qantev; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A pioneering AI company in Paris seeks a Data Engineer to work on advanced machine learning projects and build scalable data pipelines. The ideal candidate will have over three years of experience in data engineering, strong Python skills, and familiarity with ML model lifecycle. Join a mission-driven team that is transforming healthcare through innovative technology.

Qualifications

• 3+ years of experience in data engineering.
• Experience with machine learning model lifecycle.
• Strong background in data orchestration.

Responsabilités

• Write production code for ML inference server.
• Collaborate with product and platform teams.
• Design automated evaluation pipelines.

Connaissances

Data engineering experience

Machine learning model lifecycle

Data orchestration (Airflow or Dagster)

Communication skills

Fluent in English

Proficiency in Python

Outils

Airflow

Docker

Ray

Apache Spark

Description du poste

About Qantev

Qantev is a cutting-edge AI company focused on transforming the health insurance industry. Its platform helps insurers enhance healthcare delivery and streamline claims management through advanced Machine Learning and Generative AI.

By analyzing historical health claims data, Qantev predicts patient journeys, improves health outcomes, and optimizes operations for payers. This data-driven approach enables more efficient, personalized, and impactful healthcare experiences for millions worldwide.

Key Facts

• Founded in 2019
• Team of over 45 professionals across Paris and Hong Kong
• Active in Europe, the US, Latin America, Asia, and the Middle East
• Supported by top-tier investors and industry experts

Why Join Qantev

• Make a meaningful impact in healthcare through advanced technology
• Work with a diverse, passionate team at the forefront of AI innovation
• Collaborate in a fast-moving, international environment
• Contribute to a mission-driven company revolutionizing health insurance

About the Role

As a Data Engineer, you will work on ambitious projects such as:

• The data access service
• The ML inference service
• Data pipelines, including ML pipelines, cold and live data ingestion

You will play a central role in the model development lifecycle, writing high-quality production code for our inference server, collaborating closely with product and platform teams, and designing automated evaluation pipelines to continuously assess and improve performance.

You will also be responsible for building scalable pipelines and reducing build time for new clients.

Qualifications

• 3+ years of experience in data engineering
• Experience with the machine learning model lifecycle, especially serving ML models
• Strong background in data orchestration (Airflow or Dagster)
• Excellent communication and documentation skills
• Fluent in English (French not required)
• Proficiency in Python, Airflow, Docker

Nice to Have

• Experience managing REST APIs
• Knowledge of Ray, Dagster, Github Actions, K8S, Python ML and scientific libraries (PyTorch, NumPy, scikit-learn, pandas)
• Experience in healthcare or insurance ML applications
• Knowledge of Apache Spark, multithreaded, parallel, and distributed computing

Recruitment Process

• Fit interview (30 min): An initial discussion about the company and your background
• Live coding interview (45-60 min): Programming skills assessment through an algorithmic exercise
• System Design Interview (45-60 min): Designing scalable and maintainable ML pipelines

At Qantev, Diversity, Equity, and Inclusion are core principles that drive innovation and success. We are committed to building a global workforce reflecting diverse backgrounds, experiences, and perspectives. We hire and embrace applications regardless of race, ethnicity, sexual orientation, disability, gender identity, religion, marital status, age, or other non-merit criteria.

This commitment is integral to our identity and work culture.

Qantev is dedicated to providing equal opportunities for all and encourages authentic self-expression. We do not accept unsolicited resumes from employment agencies or headhunters and will consider such resumes the property of Qantev.