View All Jobs 2303
Lead Data/ml Engineer - Remote Eligible
Design and maintain scalable ETL pipelines for integrating data from various advertising platforms.
Remote
Senior
6 days ago
✨ About The Role
- The Lead Data/ML Engineer will design and maintain scalable ETL pipelines for data integration from various platforms, ensuring high-quality results.
- The role involves optimizing data syncing algorithms to efficiently handle large datasets, improving scalability and performance.
- Collaboration with AI researchers is key to transforming machine learning models into production pipelines that deliver real-time insights.
- The engineer will implement automated testing, monitoring, and validation processes to ensure data reliability and accuracy.
- Managing and optimizing cloud infrastructure, focusing on cost efficiency and resource scalability, is a critical responsibility.
âš¡ Requirements
- The ideal candidate will have over 4 years of experience in data engineering roles, specifically in building and maintaining complex ETL pipelines.
- Strong programming skills in Python are essential, along with a deep understanding of system engineering and data infrastructure design.
- Experience in deploying machine learning models in production environments is crucial for success in this role.
- Familiarity with AI technologies such as PyTorch, TensorFlow, or Jax will be a significant advantage.
- The candidate should possess solid knowledge of distributed systems, data modeling, and storage solutions for handling high-volume, real-time data.
- Excellent collaboration and communication skills are necessary, as the role involves working closely with cross-functional teams.
About Superside
Creative-as-a-service