Top Machine Learning Jobs in Brazil

As a Mid-Level Machine Learning Engineer, you will deploy and maintain ML models, design APIs, and improve model performance, handling real-time data integration.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

As a Recommender Systems Specialist, you'll design, deploy, and optimize recommendation systems, leveraging advanced ML models and distributed computing to enhance personalization and business impact.

The Senior Machine Learning Engineer designs and develops scalable ML architectures, collaborates with data scientists, and manages ML applications.

The Senior AI Engineer designs and implements AI solutions, collaborates with teams to identify opportunities, and optimizes AI systems for performance and scalability.

The Engineering Matcher connects clients with technical talent by analyzing resumes, conducting interviews, and maintaining a candidate pool while collaborating with stakeholders.

The Lead ML Engineer will design, deploy, and scale personalization recommendation systems, improve data pipelines, and optimize machine learning models to drive significant business impact through ML-powered personalization.

As a Lead Machine Learning Engineer, you'll develop and scale advertising algorithms, optimize ad performance, and build ML systems to enhance revenue and user experience.

The Senior Machine Learning Engineer will build and deploy ML models, optimize them for production, and analyze performance to drive business metrics.

As a Lead Machine Learning Engineer, you'll build and optimize recommendation systems, deploying ML models for real-time personalization across millions of users. Responsibilities include enhancing data pipelines, designing ranking algorithms, and running A/B tests to improve business KPIs.

Lead the development of ML systems to optimize advertising performance and drive revenue, while collaborating with global teams to implement effective algorithms.

Lead the development of device intelligence and fingerprinting systems, integrating machine learning capabilities, and enhancing device recognition through advanced algorithms and data analysis.

As a Blockchain Machine Learning Engineer, you will design and implement personalization systems, develop production-ready solutions using Go, and handle on-chain and off-chain data, collaborating with cross-functional teams.

The Accuracy Performance Engineer will ensure sensor signals and ML model outputs are reliable, improve ML models, analyze issues, and maintain data accuracy.

The Senior Machine Learning Engineer will optimize model development, manage production pipelines, monitor performance, and collaborate with cross-functional teams to implement machine learning solutions.

The Machine Learning Engineer will design and implement recommender systems, manage ML pipelines, and collaborate with teams to integrate models into production.

Seeking a Software Engineer with 5+ years in AI/ML to design and implement scalable web APIs and applications, focusing on generative AI solutions, while engaging cross-functional teams and mentoring junior developers.

Design and create environments for data scientists, define deployment approaches for ML models, ensure quality and performance in production settings.

The Director of Technical Solutions & Support will lead a regional team to resolve complex support cases for Databricks customers, ensuring 24x7 support coverage and improving product supportability through collaboration and technical leadership.

Apply your expertise in building large-scale ML systems for personalized recommendations, enhancing user engagement and business growth through data-driven strategies.

As a Senior Machine Learning Engineer, you will build and optimize ML systems to enhance ad performance and user engagement, leveraging your software development skills and business intuition.

Build and optimize recommendation systems using ML to enhance user experience and drive business growth, impacting millions daily.

The role involves developing and optimizing machine learning systems for advertising performance, collaborating globally to enhance user engagement and revenue.

Design, develop, and optimize deep learning models for image classification, object detection, and segmentation. Collaborate with a team and deploy models on various platforms.

The Principal ML Engineer will lead the design and strategy for ML personalization systems, solve technical challenges, mentor senior engineers, and represent the company in the ML community.