Top Machine Learning Jobs in Brazil

The Manager, Field Engineering will lead a team of Solutions Architects to drive customer success and accelerate revenue growth while leveraging advanced data technologies.

The Sr. Manager, Field Engineering will lead a team of Solutions Architects, focusing on technical pre-sales support, ensuring customer success with Databricks, while maintaining high team morale and efficiency in operations.

As a Lead Software Engineer, you will research, design, and implement EDA algorithms, optimize solutions, and integrate AI techniques in Clock Tree Synthesis development.

The Machine Learning Engineer II will design, deploy, and maintain machine learning models, analyze data, and collaborate with teams to integrate solutions into production while ensuring performance and reliability.

The Platform Solution Sales Executive will drive sales of FICO's Platform, manage relationships with enterprise clients, and collaborate with internal teams to deliver tailored solutions in the banking sector.

Lead the Anti-Fraud Squad by defining the fraud prevention product roadmap, using data analytics for decisions, and managing ML model lifecycle.

The iOS Developer will design and maintain an SDK focused on fraud detection, collaborating with teams to build secure mobile solutions while mentoring juniors and adhering to best practices.

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

As a Senior Project Manager, you will lead complex software and AI project deliveries, manage cross-regional teams, and engage with clients to align technology solutions with business goals.

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

The Machine Learning Manager will lead and develop high-performing teams, manage resources, oversee ML model deployment, and ensure team performance and psychological safety while collaborating across the organization.

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.

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

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

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The ML Manager for the AI Platform will lead a team of Machine Learning Engineers, oversee strategic planning, architecture, and execution of AI solutions, focusing on MLOps and Infrastructure to enhance the ML lifecycle.

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

The Senior Machine Learning Engineer will lead the development of cloud-hosted geospatial processing solutions, ensuring efficient ML/Computer Vision design and deployment while mentoring team members and driving knowledge exchange.

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

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.

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

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 Engineer to execute complex AI research, optimize architectures for production use, and mentor team members, focusing on scalable financial solutions.

As a Machine Learning Engineering Specialist, you'll design and deploy scalable systems for ML models, ensure CI/CD integration, and optimize performance.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.