Top Machine Learning Jobs in Brasilia

In this Data Scientist role, you'll engage with teams to analyze data, use machine learning models, and improve analytical skills, while gaining mentorship.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

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.

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.

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

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 Machine Learning Engineer, you will design and build ML systems, collaborate with teams, ensure reliable deployments, and mentor peers while driving projects to completion.

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.

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

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

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 the search experience and infrastructure at Superbet, focusing on personalization and experimentation to enhance user engagement and discovery across platforms.

The Accuracy Performance Engineer will ensure sensor signals and ML model outputs are reliable, improve ML models, analyze issues, and maintain data accuracy.

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.

The Senior Machine Learning Engineer will design and develop scalable architectures and manage ML applications, collaborating with teams and ensuring timely delivery.

The Lead Machine Learning Engineer at Thoughtworks will design scalable ML systems, oversee their development, mentor teams, and align ML initiatives with organizational goals.

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