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Level: Manager:
Experience: 4+ years
Role Overview: The Data Scientist - Production ensures the efficient transition of machine learning models from exploration to production. Working closely with the UDP team, this role is responsible for deploying, maintaining, and evolving AI models, ensuring their reliability and scalability in production environments. The role also includes representing CCEP in third-party projects to ensure smooth handovers.
Key Responsibilities:
Experience: 4+ years
Role Overview: The Data Scientist - Production ensures the efficient transition of machine learning models from exploration to production. Working closely with the UDP team, this role is responsible for deploying, maintaining, and evolving AI models, ensuring their reliability and scalability in production environments. The role also includes representing CCEP in third-party projects to ensure smooth handovers.
Key Responsibilities:
- Deploy and maintain AI models in production, ensuring efficient refreshes as needed.
- Collaborate with the UDP team to integrate machine learning solutions into production workflows.
- Represent CCEP in third-party projects, ensuring smooth transitions post-handover.
- Monitor model performance and address requests for maintenance and evolution.
- Implement best practices in MLOps for scalable and reliable model deployment.
- Master’s degree in Computer Science, Data Science, or a related field.
- Experience in deploying and maintaining machine learning models in production environments.
- Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure).
- Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring.
- Excellent problem-solving skills and attention to detail
Key Skills
Ranked by relevance
machine learning
mlops
udp
ai
python
cloud
cicd
sql
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- Posted
- Sep 06, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Madrid
- Company
- Coca-Cola Europacific Partners
Industries
Manufacturing
Categories
Supply Chain
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