NielsenIQ
Tech / AI / Software
MachineLearningEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Machine Learning Engineer at NielsenIQ. Skills: Machine Learning, Python, AWS, MLOps. Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices. Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana”
What You'll Achieve.
revealing new pathways to growth; delivers the Full View™
Industry & Context.
computability and complexity
What They're Looking For.
Must Have
3+ years of solid programming skills in languages such as Python and the respective Machine Learning ecosystem, Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies, Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations, Knowledge of Math, Statistics and Machine Learning (e. g. , statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting)
Nice to Have
Working experience with agile development practices is a plus
What You'll Do.
maintain and enhance Machine Learning solutions using best software engineering practices
Implement machine learning solutions / pipelines which can scale
in cloud-based environments (AWS) utilizing containerized applications
distributed processing frameworks
airflow/ other orchestration tools
terraform/ other IAAC tools
monitoring solutions like Grafana
Optimize data science and machine learning models using code optimization
high performance computing
Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices
How You'll Work.
Team & Collaboration
Actively share Data Science knowledge within our organization
Full Job Description
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com * Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices * Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana * Optimize data science and machine learning models using code optimization, high performance computing * Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices * Actively share Data Science knowledge within our organization and represent GfK’s Data Science expertise at conferences and workshops ## Qualifications * 3+ years of solid programming skills in languages such as Python and the respective Machine Learning ecosystem * Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies * Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations * Knowledge of Math, Statistics and Machine Learning (e.g., statistical tests, classification, predictive
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