Machine Learning Engineer

adidas AG

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On-site
End-to-end model development lifecycle
Python programming language
Apache kafka and apache spark
The role focuses on applying expertise in the end-to-end Model Development Lifecycle to productionize state-of-the-art machine learning models

Job Summary

  • The role focuses on applying expertise in the end-to-end Model Development Lifecycle to productionize state-of-the-art machine learning models.
  • Candidates will build scalable components for data platforms and ML platforms, including distributed model training and observability.
  • The position requires deep knowledge of big data technologies like Apache Kafka, Spark, and AWS EMR to handle large-scale data constraints.

Matching Summary

The role focuses on applying expertise in the end-to-end Model Development Lifecycle to productionize state-of-the-art machine learning models.

Skills & Requirements

Must-have

  • End-to-end Model Development Lifecycle
  • Python programming language
  • Apache Kafka and Apache Spark
  • AWS EMR and Databricks
  • Feature engineering and model training
  • CI/CD practices for ML pipelines
  • Distributed data processing

Nice-to-have

  • Experience with financial or demand planning data
  • Master's degree in Computer Science
  • Knowledge of Natural Language Processing
  • Strong communication skills
  • Solution-oriented attitude
  • Cross-functional collaboration skills

Key Requirements

  • Bachelor's degree in Computer Science or Mathematics
  • 4 years' hands-on experience as a Machine Learning Engineer
  • Proficiency in Python, R, or Java
  • Experience with production-level MLOps

Work Rights

Not specified

Tailored Resume

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