Data Science Infrastructure Specialist

hace 3 días


Madrid, Madrid, España Nielseniq A tiempo completo

Job Summary

We are seeking a highly skilled Data Science Infrastructure Specialist to join our team at NielsenIQ. As a key member of our data science team, you will be responsible for designing, developing, and managing the infrastructure to release scalable Data Science models.

The ideal candidate will have a strong background in Linux, Docker containers, and cloud providers such as Azure, GCP, or AWS. Experience with ML/Ops technologies like Azure ML and AI/ML frameworks such as Torch, Onnx, and Tensorflow is also highly desirable.

Key Responsibilities

  • Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to user requests in near real-time.
  • Design and implement pipelines for training and deployment of ML models.
  • Design dashboards to monitor systems.
  • Collect metrics and create alerts based on them.
  • Design and execute performance tests.
  • Perform feasibility studies/analysis with a critical point of view.
  • Work on various software challenges, ensuring a combination of simplicity and maintainability within the code.
  • Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
  • Mentor other engineers, fostering good engineering practices across the department.
  • Work closely with data scientists and end-users to ensure technical compatibility and user satisfaction.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Demonstrated experience and knowledge in Linux and Docker containers.
  • Demonstrated experience and knowledge in cloud providers such as Azure, GCP, or AWS.
  • Proficient in programming languages such as Python.
  • Experience with ML/Ops technologies like Azure ML.
  • Self-driven and good communication skills.
  • Experience with AI/ML frameworks such as Torch, Onnx, and Tensorflow.
  • Experience designing and implementing CICD pipelines for automation.
  • Experience designing monitoring dashboards.
  • Experience with container orchestrators such as Kubernetes and Docker Swarm.
  • Experience in using collaborative developing tools such as Git, Confluence, and Jira.

About NielsenIQ

NielsenIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.

We are a global company with operations in 100+ markets, covering more than 90% of the world's population.



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