Machine Learning Engineer
Description For Machine Learning Engineer
Nielsen, a global leader in media measurement, is seeking a Machine Learning Engineer to join their Engineering team. This role is crucial in powering Nielsen's Audience Measurement Engineering platforms that support television viewing measurement in over 30 countries. The position offers an opportunity to work with cutting-edge machine learning technologies and frameworks, including PyTorch, while developing solutions that directly impact global media measurement.
The ideal candidate will bring strong expertise in machine learning, software development, and data analysis, with the ability to work across multiple programming languages and frameworks. You'll be part of a dynamic team that values excellence and innovation, working on solutions that shape the future of media measurement.
This role combines technical expertise in machine learning with practical software engineering skills, offering exposure to both traditional development and ML-specific challenges. You'll work with modern technologies including Java, Python, JavaScript, and Kotlin, while leveraging cloud services through AWS.
The position offers a hybrid work environment, allowing for flexibility while maintaining collaborative opportunities. Nielsen's commitment to powering a better media future and its global presence provides an excellent platform for career growth and impact. You'll be part of a team that champions success and enables personal growth while contributing to solutions that drive client decisions and deliver extraordinary results.
Responsibilities For Machine Learning Engineer
- Define, develop, test, analyze, and deliver technology solutions within Nielsen's Collections platforms
- Follow best practices for software development and deployment
- Build RESTful APIs
- Work with web technology including Java, Python, JavaScript, React/Redux, Kotlin
Requirements For Machine Learning Engineer
- Bachelor's degree in Computer Science or equivalent degree
- 6+ years of software experience
- Experience with Machine learning frameworks and models
- PyTorch experience preferred
- Strong understanding of statistical analysis and mathematical data manipulation
- Understanding of relational database and big data
- Proficient at using GIT, GitFlow, JIRA, Gitlab and Confluence
- Strong analytical and problem solving skills
- Experience in writing unit/integration tests including test automation
- Strong testing and debugging abilities
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