Top Machine Learning Jobs in Fortaleza

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

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 Platform Engineer will design and build services for machine learning products, automate model deployments, maintain data systems, and collaborate on code reviews.

The Senior Project Manager will lead Martech teams, manage project timelines and budgets, ensure client satisfaction, and drive Agile methodologies.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Lead engineering teams in automation and corporate systems, promoting technical excellence and aligning with business objectives. Drive AI adoption for operational efficiency and manage engineering processes.

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.

This role involves building and optimizing LLMs and AI systems for public safety, focusing on real-time application and collaboration with various teams.

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.

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.

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 enhance Xometry's ML capabilities, develop models for cost prediction, lead technology evaluations, and collaborate on AI solutions.

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

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

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