Machine Learning Engineer
Nuremberg, Germany
Machine Learning Engineer
📍 Location: Nuremberg, Germany
Join the innovative team at YouGov Shopper Intelligence (Consumer Panel) as a Machine Learning Engineer to revolutionize consumer data quality! Your key role will involve boosting automation by integrating panelist data with diverse data sources using cutting-edge data science and LLM technologies. 🌟
Key Responsibilities:
- Develop ML and data science components (NLP, OCR, LLM) from research to production in an agile environment.
- Collaborate with data scientists, SREs, and software engineers to ensure seamless research-to-production workflows.
- Apply coding best practices and optimize CI/CD pipelines for continuous feature deployment.
- Set up and enhance ML/data pipelines and monitoring systems (AWS CloudWatch/Kibana).
- Showcase your accomplishments during agile ceremonies and internal knowledge-sharing sessions.
Tools & Technologies:
- Programming: Python
- Cloud Services: AWS (Lambda, SageMaker, API Gateway, Bedrock)
- Containers & CI/CD: Docker, Terraform, Git, GitLab (CI/CD)
- Databases & Analytics: MongoDB, ELK stack
- Collaboration Tools: Jira, Confluence, MS Teams, Miro
Qualifications:
- Proven experience in ML, ideally in NLP or text recognition.
- Familiarity with LLMs for research and real-world applications.
- Strong analytical and creative problem-solving skills.
About Us:
YouGov is a global leader in online research, known for delivering accurate insights into public opinion. By connecting with over 27 million panel members, we strive to represent diverse perspectives. 🌍
Why YouGov?
Join our committed team to amplify the voices of millions, backed by our core values of accuracy, ethics, and innovation. We prioritize diversity and aim to create a supportive workplace where everyone can thrive. 💼🌈
Equal Opportunity Employer:
We are dedicated to providing equal opportunities regardless of race, color, religion, sex, and various other characteristics. Your qualification and merit will guide all employment decisions.
Data Privacy:
For information on how we handle your personal data, please read our privacy notice.
Ready to Join Us?
Apply now to be part of our mission to make opinions heard! ✨