Machine Learning Engineer

Há 1 mês


Lisboa, Lisboa, Portugal Damia Tempo inteiro

Be a Part of Our Data Science Team

Sixt, a leading global mobility service provider, is currently seeking a skilled Machine Learning Engineer to join their talented team. As a Machine Learning Engineer, you will be responsible for designing, developing, and maintaining state-of-the-art machine learning models and optimization solvers.

About the Job

  • Develop and maintain a solid infrastructure within the Data Science team, focusing on DevOps processes and cloud technologies.
  • Establish and extend tools to automate our Data Science Tech Stack, enhancing MLOps processes, including model deployment and data pipelines.
  • Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms, collaborating closely with other departments like cloud infrastructure.
  • Collaborate effectively with stakeholders from other departments to achieve our business goals.
  • Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources.
  • Make data science experiments production-ready, monitored, robust, and scalable.

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.
  • Ideally knowledge in operational deployment of machine learning applications.
  • Ideally knowledge of data engineering, including data modeling, database systems, and ETL processes.
  • Ideally experience with monitoring and logging tools to detect and diagnose issues in machine learning models and the infrastructure supporting them.
  • Excellent communication and collaboration skills, with fluency in English and an appreciation for cultural diversity.

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