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Julio Cezar Silva

@juliocezarsilva

Message

Lead Data Scientist specializing in ML, MLOps and scalable production systems.

Brazil

Message

What I'm looking for

I seek roles building and scaling production ML systems with strong MLOps practices, collaborative teams, and measurable impact.

I am a Lead Data Scientist with extensive experience applying machine learning and MLOps to high-throughput, production-critical systems. I lead core anti-fraud ML suites and design multi-tenant scalable ML APIs, focusing on reliability, performance and automation.

My background spans senior data science roles where I delivered end-to-end solutions including supervised and unsupervised learning, NLP, recommendation systems and real-time incident mitigation that reduced incidents dramatically. I have led mixed Data Scientist/Data Engineer teams from projection through maintenance.

I am AWS-experienced, an early adopter of AI in production, and have built serverless AWS microservices and automated CI pipelines. I value robust engineering, measurable impact and continuous improvement through MLOps and automation.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

EBANX

Dec 2022 - Present (3 years)

Led the core anti-fraud ML suite, driving MLOps automation and production AI adoption across services; recognized with internal awards and contributed to high-availability ML systems.

Machine Learning MLOps AWS Apache Kafka Fraud Detection Production AI Systems Python

Senior Data Scientist

NextWave Data Science

Dec 2019 - Dec 2022 (3 years)

Delivered complete ML and MLOps solutions including multi-tenant scalable ML APIs and high-throughput systems; led mixed data scientist/engineer teams and won data science competitions.

Machine Learning MLOps API Design Scalable Systems Team Leadership NLP Model Monitoring

Data Scientist

NextWave Data Science

Mar 2018 - Dec 2019 (1 year 9 months)

Built cross-source real-time incident mitigation applications using recommendation systems and gradient boosted trees, reducing incidents from thousands/day to zero and designing service architectures.

Real Time Systems Recommendation Systems Gradient Boosting Python Systems Architecture

Software Developer

Indra

Jan 2017 - Feb 2018 (1 year 1 month)

Operated as a full-stack developer building serverless AWS microservices (Lambda, API Gateway, DynamoDB), automated CI pipelines and developed cross-platform front-end applications.