Top Machine Learning Jobs in Sao Paulo

Lead a team of ML engineers to build personalization systems, architect multi-stage ranking systems, and mentor engineers while driving model quality improvements.

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

The contractor will develop machine learning algorithms, maintain data pipelines, conduct data analysis, and validate models through experimentation.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

The Principal Machine Learning Engineer will define personalization strategies, solve complex ML challenges, and lead innovative projects influencing business outcomes.

The role involves establishing the technical vision for personalization strategies, solving complex ML challenges, and mentoring senior engineers.

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and mentoring senior engineers while driving strategic alignment across teams.

Lead the technical vision and implementation of advanced ML systems focused on personalization, guiding teams through complex challenges and innovative solutions.

The Senior Data Scientist at Thoughtworks collaborates on data science projects, applying advanced techniques to solve business problems and communicate insights effectively.

Lead a team of ML engineers to build personalization systems, architect multi-stage ranking systems, and improve model quality while mentoring others.

As Program Director, you will own client relationships, mentor teams, ensure quality delivery, and manage executive communications to achieve successful project outcomes.

As an Applied AI Researcher, you will develop algorithms for diverse data modalities, collaborate on innovations, and lead research dissemination in GenAI.

Identify Brazilian species through images and audio, support biodiversity surveys, and train machine learning models by annotating data.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Senior Machine Learning Engineer will enhance Xometry's ML capabilities, develop models for cost prediction, lead technology evaluations, and collaborate on AI solutions.

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.

Lead the design and implementation of AI solutions, integrating ML models into applications, driving strategy, and mentoring teams in AI best practices.

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