Top Machine Learning Jobs in Rio de Janeiro

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

As a Senior Machine Learning Engineer, you will connect ML models to infrastructure, monitor model performance, deploy models in various environments, and help to scale operations across teams through data science applications.

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.

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 KYC integrations and AI tools, manage compliance workflows, analyze data for improvements, and collaborate with teams to enhance user experience.

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

Design and deploy machine learning models for data-driven decision-making, ensuring integration and scalability, while collaborating with cross-functional teams.

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 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 the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

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.

Lead a cross-functional team in developing and maintaining the MLOps infrastructure at Zyte. Responsibilities include managing distributed systems, optimizing model platforms, and overseeing team operations.

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

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.

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 Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

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