Machine Learning Engineer at a Global Mobility Leader

1 semana atrás


Lisboa, Lisboa, Portugal Damia Tempo inteiro

Sixt, a leading global mobility service provider with sales of €3.07 billion and around 9,000 employees worldwide, is seeking an experienced Machine Learning Engineer to join their team.

About the company:

As part of our Data Science team, you will leverage data to improve business processes like revenue management and more. You will design, develop and maintain state-of-the-art machine learning models and manifold optimization solvers as well as simulation models. Your work will directly impact our business results and improve the experience of millions of customers.

The ideal candidate has strong knowledge of cloud technologies, ideally in AWS, and solid coding skills in Python. Experience with continuous integration/continuous deployment approaches and containerization technologies like Docker is a plus. Familiarity with monitoring and logging tools to detect and diagnose issues in machine learning models and infrastructure is also desired.

This role requires excellent communication and collaboration skills, with fluency in English and an appreciation for cultural diversity. The salary range for this position is between $100,000 and $150,000 per year, depending on experience.

Responsibilities:
  • Develop further and maintain a solid infrastructure within the Data Science team, with a focus on DevOps processes and cloud technologies.
  • Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOps processes, including model deployment and data pipelines.
  • Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms and work closely with other departments like cloud infrastructure.
Requirements:
  • Strong knowledge of cloud technologies, ideally in AWS.
  • Solid coding skills in Python and experience with continuous integration/continuous deployment approaches.
  • Experience with infrastructure as code (IaC), ideally Terraform, is a strong plus.
  • Familiarity with containerization technologies such as Docker and ideally container orchestration systems such as Kubernetes.
Benefits:
  • A competitive salary between $100,000 and $150,000 per year.
  • A hybrid working model and flexible working hours.
  • A modern office with new equipment and a canteen serving healthy and delicious food.
  • An international working environment with numerous training opportunities and participation in external conferences.

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