ML Engineering Team Lead

2 dni temu


Warszawa, Mazovia, Polska Schneider Electric Pełny etat
About Schneider Electric

We are a leading global company in the field of digital transformation, energy management, and automation.

Job Overview

This is a full-time position with a hybrid work model (2 days per week from the office).

Key Responsibilities
  • Lead technical efforts and support team members
  • Research, design, and test statistical and machine learning models
  • Scale-up and productionize developed models
  • Conduct data discovery, profiling, and analyze data lineage and determine schema
  • Identify data and analytical business needs and determine possible solutions
Required Skills and Qualifications
  • Proven track record of leading data science projects
  • Hands-on experience in E2E modeling (data preparation, feature engineering, pipelines, model evaluation & deployment)
  • Solid understanding of statistical and ML methods
  • Advanced Python knowledge: expertise in writing clean, efficient, and maintainable code
  • Extensive MLflow experience: strong understanding of software engineering principles, such as modular code design, test-driven development, version control (e.g., Git), and CI/CD pipelines
  • Software Engineering skills: strong understanding of software engineering principles, such as modular code design, test-driven development, version control (e.g., Git), and CI/CD pipelines
  • Experience in developing Scalable Solutions: proven ability to design and implement scalable, production-ready, and modular solutions that are easily maintainable and extensible
  • Optimization and Performance Tuning skills: knowledge of optimizing machine learning models and pipelines
  • Developed communication skills, including the ability to present ideas and share your knowledge with others
  • Ability to map Business requirements to technical solutions
Benefits
  • Exciting job in an international company
  • Development opportunities in a supportive team of professionals
  • Onboarding trainings to help you find your way in our company
  • Wide choice of benefits: private medical care, life insurance, sports card, performance bonus, benefits cafeteria, additional family leave, project work opportunity, diverse team, access to training platform, recognition, participation in CSR or sustainability projects, employee referral program
Others

Come join us and be part of a dynamic team. We value diversity and inclusion, and we are committed to creating an environment where everyone can thrive.



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