Top Machine Learning Jobs in Brasilia

The role involves establishing the technical vision for personalization, solving complex ML challenges, and influencing the ML strategy and architecture across the company.

Lead the development of personalization strategies and architecture, resolve complex machine learning challenges, and mentor ML engineers. Drive business KPIs through advanced ML solutions and innovation.

The Principal Machine Learning Engineer will lead the development of advanced ML systems for personalization, drive technical vision and strategy, and mentor senior engineers. Responsibilities include defining architecture, solving complex challenges, and representing the company externally in the ML community.

The Principal Machine Learning Engineer will lead the technical vision for personalization at Launch Potato, architecting ML systems for large-scale predictions and mentoring engineers.

Lead the architecture and strategy for ML personalization systems at Launch Potato, mentoring engineers and innovating solutions for complex technical challenges.

Lead and mentor a team of ML engineers in building advanced personalization systems, focusing on system architecture, model quality, and collaboration with cross-functional teams.

The HubSpot & AI Developer will customize HubSpot functionalities, integrate AI solutions, enhance workflows, and drive data-driven decision-making.

Design and implement AI solutions using Azure technologies, focusing on architecture, DevOps, data pipelines, and security compliance while leading AI initiatives.

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

Build and optimize large-scale ML systems for real-time recommendations, enhancing user experience and driving business growth through personalization.

As a Senior ML Engineer at Launch Potato, you'll build scalable ML systems that optimize ad performance, enhance user engagement, and collaborate across teams to improve revenues through data-driven algorithms and technologies.

Develop and deploy ML models for personalization and optimization, analyze performance, and collaborate with product teams to enhance user experiences at scale.

The Senior Machine Learning Engineer will build and optimize the personalization engine for user experiences, focusing on large-scale ML systems and ranking algorithms.

As a Senior Machine Learning Engineer, you'll build scalable ML systems to optimize ad performance and user engagement, focusing on advertising algorithms and collaboration across teams.