Machine Learning Team Lead
☆ Rolling with Changes : We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
☆ Making waves with purpose : We're here to make a difference. Every decision and action is aimed at creating positive and meaningful impact.
☆ The ADIKTEAM vibe : We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments. ☆ WHAT YOU WILL DO We are seeking a skilled Machine Learning Team Lead who is passionate about building impactful solutions and thrives in a collaborative environment. If you enjoy solving complex challenges as a team, sharing knowledge, and making a difference with data, we encourage you to apply. Your responsibilities will include:
- Hire, manage and coach members of the Machine Learning team.
- Drive R&D initiatives planned in the company strategy and deliver them with your team.
- Collaborate with Engineering team to maintain and improve inference systems in production.
- Report project progress to company stakeholders, and coordinate Machine Learning efforts with other internal initiatives.
- Contribute to the definition of thenext roadmaps using your team's inputs and your own expertise.
- Academics
- Strong theoretical background in mathematics and/or computer science
- MS or PhD is a plus
- Professional experience
- 5+ years of experience in technical management roles including management of senior engineers
- Significant experience with production environments: testing, deploying, monitoring, etc.
- Experience in AdTech is a plus
- Engineering & infrastructure skills
- Write clean, maintainable, production-quality Python code, with a strong grasp of testing, typing, CI/CD.
- Hands-on experience with Scala, Spark, Airflow and/or AWS is a plus
- Hands-on experience with large-scale data engineering or high-frequency inference systems is a strong plus
- Machine learning skills
- Intimate understanding of theoretical concepts in probability, statistical learning, and optimization
- Significant modelling experience with tabular data for classification and regression problems
- Practical experience of deep learning and embeddings is a plus
- Competitive Salary ;
- Performance-based Quarterly bonus with transparent KPIs;
- Profit-sharing scheme ("Prime de participation") ;
- Longevity bonus every 2 years ;
- Healthcare plan with excellent coverage (50% of the contribution covered by Adikteev) ;
- €9 Lunch Vouchers (Tickets Restaurant - SWILE card - 50% of the contribution covered by Adikteev) ;
- 4 1/2 days work week (Fridays afternoon off) ;
- "RTT" ;
- 50% of transportation fees covered by Adikteev (Navigo Pass)
- Mental Health support ;
- Flexible remote working policy ;
- Regular team-life event / activity
- Inclusive parental leave Policy.
- HR call with Claire, Talent Acquisition Partner;
- Interview with Loïc, Chief Product Officer ;
- Live technical test & team fit interview with Gwennaëlle and Nicolas, Senior ML Engineers ;
- Team fit interview with Youcef, Senior Engineering Team Lead & Eric, Senior Backend Engineer ;
- Final interview with Cédric, CTO, & Clément, Global COO.
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