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Machine Learning Infrastructure Engineer

hace 1 mes

Valladolid, Valladolid, España Nielseniq A tiempo completo
Job Description

As a Machine Learning Infrastructure Engineer at Nielseniq, you will be responsible for designing, developing, and managing the infrastructure to release scalable Data Science models. You will deploy, monitor, and operate production-grade AI systems in a scalable, automated, and repeatable way.

Key Responsibilities
  • Create and maintain a scalable infrastructure to deliver AI/ML processes 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 several distinct software components.
  • Mentor other engineers, fostering good engineering practices across the department.
Requirements
  • 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 (Azure, Google Cloud, or AWS).
  • Proficient in programming languages: Python.
  • Experience with ML/Ops technologies like Azure ML.
  • Self-driven and good communication skills.
Preferred Qualifications
  • 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).
  • Experience in using collaborative development tools like Git, Confluence, Jira, etc.