Top Machine Learning Jobs in Fortaleza

Design and implement advanced ML solutions, establish personalization strategies, lead cross-functional initiatives, and mentor senior engineers in machine learning architecture.

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

The Principal Machine Learning Engineer will lead personalization strategy and architecture, designing advanced ML solutions, mentoring engineers, and representing the company externally.

As a Principal Machine Learning Engineer, you'll establish the personalization strategy for Launch Potato, overcome complex ML challenges, and mentor senior engineers while driving innovation across teams.

As Principal Machine Learning Engineer, you'll define ML architecture, solve complex challenges, and mentor engineers while influencing company strategy.

Lead a team of ML engineers in building next-generation personalization and optimization systems while mentoring and driving technical excellence. Collaborate with cross-functional teams to improve model quality and system reliability.

Lead a team in developing ML systems for personalization, combining hands-on coding with leadership, focusing on model quality and system reliability.

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.

Data Scientists at Thoughtworks utilize statistics, modeling, and machine learning to provide business insights. Responsibilities include developing strategies, analyzing data, and collaborating with teams to communicate findings.

The Generative AI Engineer role involves tuning AI models, collaborating on project requirements, conducting research, optimizing existing models, and documenting technical specifications.

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.

The AI Senior Product Manager at dLocal will define the product vision for AI tools, collaborate with engineering teams, and measure product success to drive AI adoption across the company.

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

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

Lead data science projects integrating expertise in statistics and machine learning to drive business value. Collaborate cross-functionally, ensure data quality, and mentor junior team members.

Design and deploy large-scale ML systems for personalization, optimizing user experiences with real-time recommendations, A/B testing, and data pipelines.

The Senior ML Engineer will build and deploy production ML systems, optimize models for personalization in real-time, and improve business metrics through advanced ranking algorithms and collaborative work with product teams.

As a Senior ML Engineer, you will build and optimize ML systems that enhance ad performance and user engagement, collaborating with global teams.

Build and scale ML systems for real-time recommendations, optimize personalization experiences, and drive business impact through engagement and retention.

The role involves developing scalable ML systems for ad performance, optimizing algorithms, collaborating on projects, and improving revenue and user experience.

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.