Top Machine Learning Jobs in Brazil

The Machine Learning Engineer will develop distributed ML systems, collaborate on model deployment, optimize feature extraction, and enhance ML capabilities.

Design, build, and operate large-scale geospatial data pipelines and production ML/agent systems. Own data ingestion, distributed processing, model training, deployment, monitoring, and observability. Develop backend services and tooling, integrate agent frameworks, collaborate with product and customer teams to drive revenue and reliability.

The Machine Learning Engineer collaborates to design, deploy, and maintain ML models for medical imaging, ensuring production readiness and optimization.

As a Senior Data Scientist at TRACTIAN, you will develop predictive models and algorithms to enhance equipment reliability and optimize production efficiency.

Responsible for full-cycle recruiting for senior AI roles with a focus on sourcing talent in LATAM and Europe, managing pipelines, and closing candidates.

As a Machine Learning Engineer/Data Scientist, you'll build and deploy ML solutions, collaborate with stakeholders, and analyze data, focusing on achieving measurable business impact.

Architect, build, and deploy low-latency, high-throughput ML systems across the full ML lifecycle: scalable feature pipelines, training/tuning of tree and deep models, production packaging/serving, MLOps automation, monitoring for drift, and rigorous A/B experimentation to drive business metrics.

The Senior Machine Learning Engineer at AB InBev will design and implement ML systems and pipelines to drive AI's mission for the Growth Group.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

The Senior Machine Learning Engineer will develop high-performance services, innovate ad technologies, and collaborate with teams to optimize ad campaigns through AI and ML solutions.

As a Senior MLOps & AI Infrastructure Engineer, you'll build and maintain ML infrastructures, focusing on Feature Store, automation, and data pipelines, ensuring compliance and collaboration with data science teams.

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.

Design, deploy, monitor, and maintain ML models and ML-enabled systems across batch and real-time contexts. Build pipelines, features, tooling and platforms, collaborate with teams, and ensure operational and business performance of ML solutions.

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

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

Design and implement AI applications, collaborate with teams, deploy AI models, and improve solutions in production environments.