Senior Data Engineer
- Founded in 2019
- Team of more than 45 professionals across Paris and Hong Kong
- Active in Europe, the United States, Latin America, Asia, and the Middle East
- Supported by top-tier investors and industry experts
- Make a meaningful impact in healthcare through the application of advanced technology
- Work with a diverse and passionate team at the forefront of AI innovation
- Collaborate in a fast-moving, international environment
- Contribute to a mission-driven company revolutionizing health insurance operations
• 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. Qualifications Required 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.
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