Machine Learning Infrastructure Lead

hace 4 semanas


Madrid, Madrid, España Tomtom International Bv A tiempo completo
Lead the Development of Scalable Machine Learning Infrastructure

As a key member of our team, you will be responsible for technically leading a cross-functional team of data scientists, ML engineers, and software engineers to design and implement scalable machine learning infrastructure.

Key Responsibilities:

  • Design, develop, and technically lead the implementation of our ML platform to operate ML pipelines, ensuring high reliability and scalability.
  • Optimize and fine-tune machine learning models for deployment in high-traffic systems.
  • Collaborate closely and effectively with other teams to integrate ML models into products and services.
  • Monitor and troubleshoot production ML systems to ensure smooth operation.
  • Contribute to the development of best practices for ML Ops within the company.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
  • Proven experience in scaling up machine learning models for production deployment.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes.
  • Experience as staff, principal or equivalent tech leader for teams driving large scale ML or equivalent systems.
  • Strong understanding of machine learning fundamentals and best practices.
  • Excellent writing skills for documenting technical designs and operational processes.

About TomTom:

At TomTom, being a leader is a choice anyone can make. We believe in empowering our employees to take ownership of their work and make a meaningful impact on our company's success.



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