Machine Learning Engineer

Country
India
Job Family
Technology
We Show The World What People Want.
Join GfK and help us shape tomorrow. As an NIQ company, we are the worlds leading consumer intelligence firm, delivering the Full Viewtrade mark on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.
We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, well equip you to take your future into your own hands and play a leading role in our story.

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
  

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 masters degree that reflects computer science/engineering and statistical/mathematical skills and 4+ years of experience
• Solid programming skills in languages such as Python and the respective Machine Learning ecosystem

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• 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
  

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.
Learn more about how we are driving diversity and inclusion in everything we do on: https://www.gfk.com/about-gfk/diversity-and-inclusion
At GfK we work collaboratively with our colleagues but offer a flexible working approach, including dividing our time between office & remote working as well as the opportunity to flex our working hours around team core hours.
We offer an exciting work environment that brings people together. We encourage an entrepreneurial and innovative spirit and make use of the latest digital technologies. We are looking for self-starters, who accept challenges and create solutions.
Can there be a better place to take center stage in the digital revolution? We are excited to get to know you!