Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field., Strong experience in designing and deploying machine learning and deep learning models., Proficiency in programming languages such as Python and familiarity with ML frameworks., Ability to analyze data and provide insights to stakeholders..

Key responsabilities:

Design, deploy, monitor, and maintain machine learning models in production.

Collaborate with the Engineering team to optimize model performance.

Perform custom analyses to provide insights for stakeholders.

Mentor junior Machine Learning Engineers to enhance team capabilities.

Job description

★ WHO WE ARE

Adikteev, a member of the 2023 "French Tech 120," fuels the app ecosystem by inspiring users to engage with the apps they know and love. Specializing in user retention, we grow in-app revenue and build user loyalty with custom retargeting and churn prediction campaigns.

With over 100 employees and offices in Paris, San Francisco, and Seoul, Adikteev operates worldwide, achieving a 60% revenue growth this year ($50m+ revenues in 2023).

★ HOW WE DO IT

☆ Own It, Live It: Our top priority is making sure our customers are not just happy but thrilled. We're not afraid to make bold moves, take charge of challenges, and see them through to the end.
☆ Rolling with the Changes: We don't just face challenges, we predict them. Agility is our middle name, and we're all about continuous learning. Adaptability is our recipe for success.
☆ Making Waves with Purpose: We're here to make a difference. Every decision and action we take is aimed at making a meaningful impact.
☆ The ADIKTEAM Vibe: It's not just a team; it's the ADIKTEAM. Each one of us is a crucial part of the squad and we're always on the lookout for A+ players.

★ WHAT YOU WILL DO

Design, deploy, monitor, maintain and improve machine learning and deep learning models in production. You will collaborate with the Engineering team for these purposes. Currently, our models serve diverse needs (user conversion, churn, app recommendation, user segmentation…). They have been developed and improved over the years to optimize their performances while taking into account the main constraints of our industry: inference time and data volume.
Perform custom analyses to give insights to various levels of stakeholders (investigate performance shift, A/B test, evaluate a business potential, presale analysis…).
Mentor a junior Machine Learning Engineer

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