AI Stories End To End MLOps with Başak Eskili #54
Jan 9, 2025
In this discussion, Başak Eskili, a Machine Learning Engineer at Booking.com and co-founder of Marvelous MLOps, shares her inspiring journey into the world of MLOps. She highlights key components like version control and CI/CD pipelines that are essential for effective machine learning operations. The conversation dives into the significance of feature stores in real-time applications and the best practices for building scalable ML systems. Başak also offers valuable career advice for aspiring ML professionals, emphasizing the importance of soft skills in tech.
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Başak's Path to AI
- Başak Eskili's journey into AI began with a computer science degree, influenced by 90s tech.
- Although initially hesitant, she discovered her passion for machine learning in her third year.
MLOps Revelation
- An internship's automation aspect sparked Başak's MLOps interest, realizing deployed models hold real-world value.
- This pivotal experience shifted her career focus from academia to industry.
MLOps Components
- Key MLOps components include version control, CI/CD pipelines, and monitoring, similar to DevOps but with crucial additions.
- Model registries, feature stores, and data quality checks address ML-specific needs like model degradation.