Added
6 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker sql python machine learning hadoop

πŸ“‹ Description

  • Develop, enhance, and optimize machine learning models by introducing new features, tuning
  • Collaborate with Machine Learning Engineers to research, develop, and deploy scalable supervised
  • Explore new and existing data sources to identify opportunities for improving model performance and
  • Research and evaluate innovative machine learning approaches that can optimize different stages of
  • Design, run, and analyze A/B tests to validate hypotheses, measure impact, and continuously improve
  • Develop solutions capable of handling sparse, high-volume datasets for use cases such as

🎯 Requirements

  • At least 5 years of professional experience developing data science or machine learning products
  • Strong programming skills and a commitment to writing clean, maintainable, reproducible, and
  • Strong hands-on experience with Python, Spark, Hadoop, Airflow, Docker, and SQL.
  • Proven experience working with algorithms designed for sparse and large-scale datasets, including
  • Practical experience developing neural network-based solutions for classification, regression
  • Knowledge of reinforcement learning and large-scale optimization is a significant advantage.

🎁 Benefits

  • Direct collaboration with founders and the opportunity to make a meaningful impact on products and
  • Strong opportunities for career development, learning, and professional growth.
  • The chance to work alongside experienced industry specialists and entrepreneurs in a rapidly
  • A diverse, multinational, and distributed team working across Europe, North America, Asia, and
  • Flexible work-from-home arrangements.
  • Opportunity to relocate to an international office in Berlin.

🚚 Relocation support

πŸ›ƒ Visa sponsorship

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