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NielsenIQ

Machine Learning Engineer

NielsenIQ
Pune, Maharashtra On-site
On-Site Full-Time Pune, Maharashtra India

Skills

Amazon Web Services (AWS) Python (Programming Language) Computer Science Algorithms TensorFlow Hadoop Natural Language Processing (NLP) Computer Vision Machine Learning Pandas (Software) Terraform Image Processing Machine Learning Algorithms

About the Role

As a Machine Learning Engineer you will have following key accountabilities:
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

Now you know what a Machine Learning Engineer does. What skills, qualifications & experience do you need for this job?
Ability to fluidly communicate in an English business environment
PhD or master's degree that reflects computer science/engineering and statistical/mathematical skills and 2+ years of experience
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)
Working experience with agile development practices is a plus
Admittedly, this is a long list and we do not expect you to be able to tick off every single point on it. Learning on the job and formal trainings will help you to close potential knowledge gaps and quickly bring you up to speed.

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Application Status

Application Draft

In Progress

Submit Application

Pending

Review Process

Expected within 5-7 days

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