MLOps Platform Architecture for e2e ML Pipelines

Опубликовано: 24 Июнь 2026
на канале: Toronto Machine Learning Society (TMLS)
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Speaker Bio:
Joao Da Silva, Lead Data Engineer at Avast
Public speaker in spark-summit, data-summit and local ML Meetups as well as Meetup co-organizer in Prague. I have been involved in the Data engineering field for a while and I am a FP lover. I am currently Architecting MLOps platform and strategy for Avast so we can provide a safe online environment to the wider population

Abstract:
At Avast we complete over 17 million phishing detections a day, providing crucial online protection for this type of attacks. There are a lot of challenges that data scientists frequently face, such as inconsistent environments, transitioning from research to production, access management, model deployment.

In this talk Joao Da Silva will present Avast MLOps maturity journey, tooling and cultural shift that has increased velocity, improved collaboration and brought structure for productising machine learning whilst integrating model tracking, storage, cross-system orchestration and E2E model deployments for complete and modern machine learning pipelines

Joao Da Silva will deliver a presentation that anyone in any organisation can relate to and take notes on a real journey with regards to MLOps tooling, mindset and adoption in a large organisation.