NielsenIQ

Tech / AI / Software

MachineLearningEngineer

chennai, tamil nadu, india; pune, maharashtra, india FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Tech / AI / Software
Problems you'll solve

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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