Top Machine Learning Jobs in Brasilia

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

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

The contractor will develop machine learning algorithms, maintain data pipelines, conduct data analysis, and validate models through experimentation.

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.

The Senior Machine Learning Engineer is responsible for designing and implementing scalable ML architectures and applications. They collaborate with teams to ensure successful deployment and maintenance of ML systems while exploring new tools and frameworks.

Lead Machine Learning Engineers at Thoughtworks design and develop scalable ML systems, mentor teams, align technical solutions with business goals, and advocate for Responsible AI. They oversee project inception, ensuring optimal performance of ML applications and foster a culture of technical excellence and innovation.

Lead the development of device intelligence and fingerprinting systems, integrating machine learning capabilities, and enhancing device recognition through advanced algorithms and data analysis.

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