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.

As a Payments Brazil Client Service Delivery Analyst, you'll provide exceptional customer service, address client inquiries, process transactions, and collaborate to solve issues while promoting operational improvements.

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

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

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.

The Sr. UX Designer will lead the design of AI-driven solutions across various domains, creating intuitive interfaces and collaborating with teams to integrate advanced technologies into user experiences.

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.

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.

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 Account Executive will drive sales in financial crime solutions, develop client relationships, and achieve revenue targets in a designated territory.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

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