Top Machine Learning Jobs in Fortaleza

Build and deploy ML models for personalized user experiences. Develop algorithms that optimize content discovery and analyze performance metrics.

As Principal ML Engineer, you'll define ML architecture, tackle complex technical issues, mentor engineers, and lead initiatives in personalization systems.

Lead the development of large-scale machine learning systems for personalization. Design algorithms, optimize data pipelines, and drive business growth through real-time recommendations.

Lead the development of scalable machine learning systems to enhance ad performance. Collaborate across teams to optimize algorithms and ensure data-driven results.

As a Lead Machine Learning Engineer, you will build and optimize recommendation systems that personalize user experiences, driving engagement and revenue across millions of user journeys.

Lead the development of machine learning systems to optimize ad performance and deliver impactful results through scalable algorithms and infrastructure.

Lead KYC integrations and AI tools, manage compliance workflows, analyze data for improvements, and collaborate with teams to enhance user experience.

Design and deploy machine learning models for data-driven decision-making, ensuring integration and scalability, while collaborating with cross-functional teams.

The Senior Machine Learning Engineer is responsible for designing, building, and managing ML applications and systems, ensuring functionality, scalability, and performance while collaborating with data scientists and mentoring team members.

Design and develop AI/ML solutions, lead RAG architecture implementation, automate deployment, and perform advanced data analysis.

Design and maintain data pipelines, work on LLM-driven applications, and optimize workflows while collaborating with stakeholders in the BI team.

The role involves managing AI/ML services on AWS and Kubernetes, ensuring reliability through SRE principles, optimizing performance and costs, and leading cross-functional projects.

Lead the design and development of scalable ML systems, oversee technical feasibility, and drive innovation through strategic alignment with organizational goals.

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

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

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