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 the power of 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 of people worldwide.
Key Facts
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Founded in 2019
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Team of more than 45 professionals across Paris and Hong Kong
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Active in Europe, the United States, Latin America, Asia, and the Middle East
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Supported by top-tier investors and industry experts
Why Join Qantev
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Make a meaningful impact in healthcare through the application of advanced technology
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Work with a diverse and passionate team at the forefront of AI innovation
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Collaborate in a fast-moving, international environment
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Contribute to a mission-driven company revolutionizing health insurance operations
About the Role
From the Data Engineering team, you will work on ambitious and critical projects for the
company such as:
• The data access service
• The ML inference service
• Data pipelines including ML pipeline, cold and live data ingestions
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.
You will be responsible for building scalable pipeline and help reduce build time for new
clients.
QualificationsRequired qualifications:
• 3+ years of experience in data engineering
• Experience in dealing with the machine learning model lifecycle, ideally, the
candidate has experience on serving machine learning models
• Strong background in data orchestration (Airflow or Dagster)
• Excellent communication and documentation skills
• Fluent English (French is not required)
• Python, Airflow, Docker
Nice to have:
• Experience in managing REST APIs
• Ray, Dagster, Github Actions, K8S, Python ML and scientific libraries (pytorch,
numpy, sklearn, pandas)
• Experience in healthcare or insurance ML applications
• Apache Spark, multithreaded, parallel and distributed calculation experience
Recruitment process
• Fit interview (30min): a first discussion to tell you more about the company and
understand your background
• Live coding interview (45-60min): Check your programming skills around an
algorithmic exercize
• System Design Interview (45-60min): Assess your ability to design scalable and
maintainable ML pipelines
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.
