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Team Leader - Machine Learing

NEXA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
Doświadczenieenums.experience.LEAD
Dodano
Dodano3 sierpnia 2026
Wykryte przez nas
Wykryte przez nas4 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

At neXa, we help businesses grow smarter by designing and implementing advanced digital solutions. We are currently seeking a Team Leader for Machine Learning to guide a high-energy team in delivering large-scale, production-grade ML solutions that drive real business impact.

Key responsibilities

  • Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists while fostering a culture of collaboration and continuous improvement.
  • Oversee the end-to-end delivery of machine learning initiatives, from initial concept through to production deployment.
  • Define and evolve machine learning architecture, feature engineering strategies, and model lifecycle standards.
  • Collaborate with product, engineering, and business stakeholders to align ML initiatives with strategic company objectives.
  • Monitor model performance and drive the adoption of scalable MLOps standards and engineering best practices.

Requirements

  • Over 8 years of experience in Machine Learning or Data Science, with a proven track record of delivering production-grade solutions.
  • At least 2 years of direct people management experience leading technical teams.
  • Advanced programming proficiency in Python and SQL, alongside hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
  • Strong experience with cloud-based ML platforms and building scalable, distributed data processing workflows.
  • Excellent communication skills with the ability to manage stakeholders and drive cross-functional execution.

What we offer

  • The opportunity to lead high-impact projects and shape the long-term technical roadmap for machine learning capabilities.
  • A fully remote work environment that prioritizes technical excellence and professional growth.
  • Collaboration with a diverse, forward-thinking team on complex, large-scale data products.

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