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Machine Learning Engineer
hace 2 meses
About the Role
We are seeking a highly skilled Machine Learning Engineer to join our team at GfK. As a Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning solutions that drive business value.
Key Responsibilities
- Design and develop machine learning solutions using best software engineering practices
- Implement machine learning pipelines that can scale in cloud-based environments (AWS) using containerized applications, distributed processing frameworks, CI/CD tools, Airflow, and other orchestration tools
- Optimize data science and machine learning models using code optimization and high-performance computing techniques
- Define and implement best practices in 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
Requirements
- Ability to communicate effectively in an English business environment; Spanish is a plus
- PhD or master's degree in computer science, engineering, or a related field, with 4+ years of experience
- Solid programming skills in languages such as Python and the respective machine learning ecosystem
- Solid computer science and engineering fundamentals, including data structures, algorithms, computability, and complexity
- Solid expertise in distributed computing in the cloud, handling enormous amounts of data and distributed computations
- Knowledge of math, statistics, and machine learning concepts, including statistical tests, classification, predictive modeling, and handling missing data
- Working experience with agile development practices is a plus
About GfK
GfK is a leading market research company that provides insights and data-driven solutions to help businesses make informed decisions. We are committed to delivering high-quality services and solutions that meet the evolving needs of our clients.