Senior Machine Learning Engineer (m/w/d)

Levis Media

Warsaw, Poland
Base: 253,100–337,400 pln py in pol + ; base: 74,0...
**
Operationalize ml and genai models
Develop and deploy novel approaches
Implement end-to-end ai solutions
** Levi Strauss & Co. is seeking a Senior Machine Learning Engineer to join their global Data, Analytics & AI team, focusing on operationalizing machine learning and Generative AI models. The role involves developing end-to-end AI solutions that enhance consumer experiences and optimize business processes, with a fully remote work option available. **

Job Summary

  • Work alongside the Data Science team to operationalize Machine Learning and Generative AI models in Production.
  • Develop and deploy novel approaches to optimize existing AI systems to maximize their value and increase consumer satisfaction.
  • Be a pioneer in the fashion industry by joining our global Data, Analytics & AI 'startup with assets'.

Matching Summary

Match Score: 75

** Levi Strauss & Co. is seeking a Senior Machine Learning Engineer to join their global Data, Analytics & AI team, focusing on operationalizing machine learning and Generative AI models. The role involves developing end-to-end AI solutions that enhance consumer experiences and optimize business processes, with a fully remote work option available. **

Salary

Base: 253,100–337,400 PLN per year in Poland; Base: 74,000–98,700 EUR per year in Spain; Not specified

Skills & Requirements

Must-have

  • Operationalize ML and GenAI models
  • Develop and deploy novel approaches
  • Implement end-to-end AI solutions
  • Scalable MLOps processes
  • Advanced Python and cloud-native services
  • Cloud native software for ML pipelines
  • Agentic AI and Automated-to-Automated workflows

Nice-to-have

  • Embody company values and passions
  • Engage with colleagues from multiple backgrounds
  • Community best practices

Key Requirements

  • 7+ years experience deploying ML systems
  • University degree in relevant field
  • Experience with relational SQL and NoSQL databases
  • Experience with big data tools (Hadoop, Spark, Kafka)
  • Experience with at least one cloud provider (AWS, GCP, Azure)
  • Experience with object-oriented scripting languages (Python, Java, C++)
  • Experience with ML/Deep Learning libraries (Scikit-learn, TensorFlow, PyTorch)
  • Experience with AI/GenAI concepts and Agentic AI architectures
  • Knowledge of data pipeline and workflow management tools
  • Expertise in standard software engineering methodology
  • Working experience with native ML orchestration systems (Kubeflow, MLflow, Airflow)
  • Working experience with Docker and Kubernetes

Work Rights

Not specified

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