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.

The Director of Product Management will oversee analytics and fraud prevention strategies, collaborate with teams to enhance transaction approval rates, and develop fraud detection systems.

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 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.

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 Data Scientist will develop predictive models and advanced solutions in machine learning and AI, working with large data sets and cloud infrastructure. Responsibilities include creating scalable analytical pipelines and monitoring production models for performance.

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

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

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 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.

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.

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.

Lead product strategy and execution for credit line and card products, enhancing customer experience through data-driven insights and cross-functional collaboration.

As a Data Scientist Intern, you'll conduct data projects, collaborate with teams to enhance client marketing strategies, and build strong client relationships.

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

Assisting the industry solutions team, supporting sales goals, analyzing trends, and creating marketing content while gaining experience in supply chain and technology.

The Senior Data Scientist will design and build scalable data products, develop machine learning models, and collaborate with various teams to drive impactful data solutions.