Top Machine Learning Jobs in Rio de Janeiro

The Machine Learning Engineer will develop RAG models, optimize machine learning systems, collaborate with clients, and lead AI projects for effective solutions.

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

You will build and optimize ML models for personalized user experiences, impacting significant revenue through intelligent personalization and optimization.

Seeking a Machine Learning Engineer to develop and optimize advanced NLP solutions, focusing on Generative AI and LLMs. Responsibilities include model design, deployment, and collaboration with cross-functional teams.

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

As a Senior Machine Learning Engineer, you will collaborate with cross-functional teams to improve dynamic pricing algorithms, leveraging AI and ML techniques, while mentoring peers and contributing to product vision.

Design and maintain scalable ML models for logistics. Own end-to-end projects and collaborate with teams to deliver impactful customer features.

Lead Machine Learning Engineers at Thoughtworks design and develop scalable ML systems, mentor teams, align technical solutions with business goals, and advocate for Responsible AI. They oversee project inception, ensuring optimal performance of ML applications and foster a culture of technical excellence and innovation.

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.

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

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.

The Senior Machine Learning Engineer will design and develop scalable architectures and manage ML applications, collaborating with teams and ensuring timely delivery.

The Lead Machine Learning Engineer at Thoughtworks will design scalable ML systems, oversee their development, mentor teams, and align ML initiatives with organizational goals.

Lead a team of ML engineers and architects to deliver AI/ML solutions on AWS, focusing on strategy, technical innovation, and operational excellence.

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.

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.

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.