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Takeaway.com

Senior Machine Learning Engineer

Applied Machine LearningUpdated on Nov 15
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • Strong experience in machine learning and developing real-time data-streaming technologies for forecasting or logistics products.
  • Strong coding and software engineering skills in Python.
  • Ability to work independently, solve complex problems, and productize and deploy solutions using cloud services such as Amazon Web Services or Google Cloud Platform.
  • Strong background in microservices, event-driven architecture, serverless computing, and cloud architecture patterns.
  • Familiarity with Kubernetes, including production deployment.
  • Experience with real-time production systems at scale, handling millions of requests or transactions per day.

Responsibilities

  • Research, implement, and deploy machine-learning techniques applicable to logistics problems.
  • Scale and transfer machine-learning solutions to improve decision-making processes and product use cases.
  • Implement and launch data-science applications that coordinate with customer-facing solutions, and continuously improve performant and efficient machine-learning models.
  • Implement tools, data pipelines, and evaluation frameworks to enable the development, iteration, and launch of machine-learning ideas within the product scope.
  • Develop solutions to supply-and-demand challenges and optimize logistics algorithms to provide reliable, efficient, and profitable service.

Desired Qualifications

  • Additional experience with Airflow, MLflow, Docker, or Flink.

About the Company

Company size
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Total funding
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