Machine Learning Infrastructure Specialist

hace 4 semanas

Madrid, Madrid, España Nielseniq A tiempo completo
Job Title: Machine Learning Engineer

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

Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, 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, 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, and troubleshoot issues with data and applications.
  • 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.
  • 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 (Azure, GCP, or AWS).
  • Proficient in programming languages: Python.
  • Experience with ML/Ops technologies like Azure ML.
  • Self-driving and good communication skills.
  • 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 developing tools like Git, Confluence, Jira, etc.
Additional Information:

Flexible work model - the team meets at the office 1 or 2 times a month.

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