Machine Learning Engineer
3 weeks ago
Description
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)utilizingcontainerized 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 organizationand represent GfK’s Data Science expertise at conferences and workshops
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 skillsand 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 and computer architecture, software design principles and patternsand testing strategies
Solidexpertise 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
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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