ML Engineer

• Develop, maintain, and propose improvements for our training framework via Argo + MLFlow
• Deploy and monitor of models in production
• Oversee implementations of new clients from the data analysis phase, modeling, deployment, and hyper-supervision of the first optimization runs in production
• Develop analytics and AB testing tools to help us continuously improving our models

• At least 2 or 3 years of experience working in Data Science, Applied Mathematics, Computer Science or similar field
• Worked on at least one deep learning framework such as tensorflow or pytorch
• Pragmatic approach to ML where testing and frequent deliveries of small incremental gains supported by validation / alerting processes to avoid regression is preferred to a long tunneled research process
• Passionate about addressing business challenges through innovative technological solutions
• Committed to maintaining high-quality standards in all aspects of your work

Experience modelling time series and/or price elasticity

• Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière)
• Attractive remuneration indexed on performance
• A caring and stimulating team that encourages skills development through initiative and autonomy
• A learning environment with opportunities for evolution
• A hybrid policy: 2 days of remote work per week and the possibility to work occasionally from abroad
• Access to WellPass at a preferential rate to maintain your well-being
• A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)