Machine Learning Engineer

hace 6 días


Barcelona, Barcelona, España Nielseniq A tiempo completo
About NielsenIQ

NielsenIQ is a global leader in consumer intelligence, providing unparalleled insights into consumer buying behavior and market trends. Our mission is to deliver the most complete understanding of consumers and markets, empowering businesses to drive growth and innovation.

Job Description

Job Title: Machine Learning Engineer - Data Science Expert

Job Summary:

We are seeking an experienced Machine Learning Engineer to join our Media Measurement team. As a key member of our team, you will design, develop, and deploy machine learning solutions that drive business growth and innovation.

Key Responsibilities:

  • Design and develop machine learning solutions using best software engineering practices
  • Implement scalable machine learning pipelines in cloud-based environments (AWS) using containerized applications, distributed processing frameworks, CI/CD tools, and monitoring solutions
  • Optimize data science and machine learning models using code optimization and high-performance computing techniques
  • Define and implement best practices in data science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices
  • Share data science knowledge within the organization and represent NielsenIQ's data science expertise at conferences and workshops

Requirements:

  • PhD or master's degree in computer science, engineering, or a related field
  • 2+ years of experience in machine learning engineering and data science
  • Strong programming skills in languages such as Python and the respective machine learning ecosystem
  • Excellent computer science and engineering fundamentals, including data structures, algorithms, computability, and complexity
  • Experience with distributed computing in the cloud and handling enormous amounts of data
  • Knowledge of math, statistics, and machine learning concepts

What We Offer:

  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • A comprehensive benefits package


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