This is a Tech Lead role in an AI consulting company. You will lead data science projects, design ML architectures, interact with clients, and mentor a team. You will work on diverse projects like AI optimization for airport operations and AI recommendation engines. The role combines hands-on ML development with technical leadership and client consulting.

Plusy

✓B2B contract with 20 paid days off
✓International projects with top-tier enterprises
✓Training budget, language classes, and sponsored conferences
✓Private healthcare and sports package
✓Flat structure and autonomous culture
✓Small teams and supportive environment
✓Access to Databricks training and certifications

Na co uważać

!Ambiguity in requirements: some items like Docker/Kubernetes appear in both must-have and nice-to-have sections
!Role may involve significant client interaction and consulting, which some data scientists may not prefer

?Tytuł wskazuje na rolę managerską, ale poziom doświadczenia nie został oznaczony jako Lead/Manager — warto zweryfikować u źródła

Codzienna praca

•Leading code reviews and architecture discussions for ML solutions
•Designing and implementing ML pipelines for production deployment
•Consulting with clients to understand business needs and translate them into data science problems
•Mentoring junior data scientists through pair programming and knowledge sharing
•Writing clean Python code for ML models using libraries like Scikit-Learn, PyTorch, or Tensorflow
•Setting up and maintaining CI/CD pipelines for ML projects with GitHub Actions
•Reviewing data quality and security standards for data pipelines
•Participating in Agile/Scrum ceremonies and managing task priorities

Więcej o ofercie

Dla kogo jest ta oferta

Profil idealny

Oferta dla doświadczonych specjalistów (Senior).

Minimum sensowne

A data scientist with at least 6 years of commercial experience, including leading ML projects and mentoring juniors, proficient in Python and cloud deployment, with strong communication skills for client interactions.

Raczej nie dla

Juniors or those without leadership experience, data scientists who prefer pure research or no client interaction, or candidates looking for a product-only role (not consulting).

Ocena dopasowania

Junior1/5

Mid2/5

Senior5/5

Hands-on4/5

Architekt4/5

Remote5/5

Enterprise3/5

Pytania do rekrutera

?Ile osób liczy zespół, który miałbym prowadzić?
?Jaki jest typowy czas trwania projektu?
?Jaki procent czasu spędzam na kontakcie z klientem vs pracy technicznej?
?Czy Docker/Kubernetes są wymagane czy tylko mile widziane?
?Jaki jest budżet na szkolenia i konferencje?
?Jak mierzona jest efektywność Tech Lead w firmie konsultingowej?
?Czy istnieje możliwość pracy nad własnym produktem (ContextClue) oprócz projektów klienckich?
?Jak wygląda polityka nadgodzin i dyżurów?