Description
As a Machine Learning Engineer you will have the 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.What skills, qualifications & experience do you need for this job? Ability to fluidly communicate in an English business environment; Spanish is a plus.PhD or master's degree in computer science/engineering and statistical/mathematical skills with 4+ 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, software design principles, 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 modeling, 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 training will help you to close potential knowledge gaps and quickly bring you up to speed.
We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal employment opportunity, focusing on all of our employees reaching their full potential.
We respect and value every employee regardless of race, ethnicity, gender, sex, sexual orientation, age, personality, experience, culture, faith, socio-economic status, or physical or mental disabilities.
We endorse the core principles and rights set forth in the United Nations Declaration of Human Rights and the Social Charter of Fundamental Rights of the European Union, promoting the universal values of human dignity, freedom, equality, and solidarity.
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