Top Machine Learning Jobs in Brazil

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

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.

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

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

As Program Director, you will own client relationships, mentor teams, ensure quality delivery, and manage executive communications to achieve successful project outcomes.

We are seeking a Data Scientist to design experiments, apply statistical inference, build ML models, and ensure data-driven decisions that enhance product development.

Provide technical solutions and consulting for Apache Spark/Machine Learning issues, assisting customers in utilizing Databricks for analytics and AI tasks while performing troubleshooting and performance tuning.

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.

Design, improve, and scale Braze's self-learning AI platform while working on data-intensive products and collaborating with customers.

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.

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.

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

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

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

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.

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

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

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

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

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.