Top Machine Learning Jobs in Brazil

Oversee planning and execution of software solutions for financial planning, managing teams and collaborating on projects to improve processes and efficiency.

As a Control Manager, you'll identify compliance and operational risks, develop control strategies, monitor risk environments, and collaborate with executives to enhance risk management practices.

Drive end-to-end delivery of data products, manage product funding, maintain data quality, and oversee ESG data governance while collaborating with technical teams.

This role involves building and optimizing LLMs and AI systems for public safety, focusing on real-time application and collaboration with various teams.

The Senior Tech Product Manager will lead the development of AI-driven, data-focused products, ensuring client engagement and product success through strategic planning and stakeholder collaboration.

The Lead Product Manager will oversee the lifecycle of data and AI products, cultivate stakeholder relationships, drive product strategy, run experiments, and ensure successful market delivery.

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

Identify Brazilian species through images and audio, support biodiversity surveys, and train machine learning models by annotating data.

As an Applied AI Researcher, you will develop algorithms for diverse data modalities, collaborate on innovations, and lead research dissemination in GenAI.

Lead a team of data scientists, manage projects, and develop data-driven solutions to enhance company operations and customer experiences.

As Lead Product Manager, you will drive the development of data and AI products, manage stakeholder relationships, and guide product strategy in dynamic pricing.

The Senior Data & AI Product Manager will drive product strategy and development for data-driven products, utilizing AI and machine learning to enhance customer experience and business outcomes, while promoting collaboration among stakeholders.

As an intern in the data science team, you will create mathematical models, implement algorithms, and gather client feedback to improve solutions in fraud detection and claims automation.

Lead cross-functional teams through project lifecycles, managing client expectations and ensuring successful project delivery while leveraging technical and engagement skills.

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 Data Scientist at Trustly will develop AI and machine learning models to manage risk, support decision-making, and optimize performance across the payment portfolio. Collaboration with engineers and ongoing analysis will be key responsibilities.

Lead the design and implementation of AI solutions, integrating ML models into applications, driving strategy, and mentoring teams in AI best practices.

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

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 Customer Reliability Engineer monitors industrial equipment using predictive analytics, identifies potential issues, manages data systems, and collaborates with teams to optimize maintenance strategies.

The Risk Manager analyzes portfolios, optimizes risk outcomes through data manipulation using SQL and Python, and collaborates with Data Science to implement models.

As a Lead Application Engineer, you will enhance customer productivity, debug issues, collaborate on product improvements, and provide innovative solutions.

Lead large-scale Data & AI programs, ensuring end-to-end delivery while collaborating with cross-functional teams and managing stakeholder expectations.

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.