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Machine Learning Engineer

hace 2 meses


Valladolid, Valladolid, España NielsenIQ A tiempo completo
About the Role

We are seeking a highly skilled Machine Learning Engineer 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.

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 and collect metrics.
  • Develop technical documentation for applications, including diagrams and manuals.
  • 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 multiple software components.
  • Mentor other engineers, fostering good engineering practices across the department.
  • Collaborate with data scientists and end-users to ensure technical compatibility and user satisfaction.
Requirements
  • Demonstrated experience and knowledge in Linux and Docker containers.
  • Demonstrated experience and knowledge in cloud providers (Azure, GCP, or AWS).
  • Proficient in programming languages: Python.
  • Experience with ML/Ops technologies like Azure ML.
  • Self-driven and good communication skills.
Preferred Qualifications
  • Bachelor's degree in Computer Science or related field.
  • Master's degree in data engineering or related.
  • Experience with AI/ML frameworks: Torch, Onnx, Tensorflow.
  • Experience designing and implementing CICD pipelines for automation.
  • Experience designing monitoring dashboards (Grafana or similar).
  • Experience with container orchestrators (Kubernetes, Docker Swarm).
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 committed to reflecting the diversity of our clients, communities, and markets within our own workforce.