Top Machine Learning Jobs in Brazil

Lead digital strategy and innovation by managing projects that incorporate disruptive technologies, optimizing consumer experiences, and driving marketing initiatives through AI and data analytics.

Support cross-functional projects to enhance customer experience and operational efficiency by leveraging AI and data analytics. Develop reports and dashboards using Microsoft Power Platform.

The Solutions Architect will engage with customers to deliver NVIDIA technology solutions, focusing on AI, HPC, and deep learning. Responsibilities include developing customer strategies, documenting knowledge, and collaborating with industry leaders.

The iOS Developer will design and maintain an SDK focused on fraud detection, collaborating with teams to build secure mobile solutions while mentoring juniors and adhering to best practices.

As a Principal Solution Consultant, you will engage with sales teams to develop tailored solutions for Mining & Metals clients, leveraging AspenTech products to drive business value and implement solutions.

The AI and Experience Orchestration Director is responsible for driving AI pipeline and revenue growth, leading customer dialogues on AI value, and expanding market reach for Genesys solutions to improve customer experience and operational efficiencies.

Lead portfolio fraud strategy teams, drive innovation, analyze fraud data, collaborate with teams, maintain fraud policies, and manage client relationships to enhance fraud strategies.

The Generative AI Engineer role involves tuning AI models, collaborating on project requirements, conducting research, optimizing existing models, and documenting technical specifications.

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

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.

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.

The Machine Learning Manager will lead and develop high-performing teams, manage resources, oversee ML model deployment, and ensure team performance and psychological safety while collaborating across the organization.

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.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Antifraud, Payments & Risk Analyst is responsible for evaluating payment requests, ensuring compliance with fraud prevention policies, investigating user behavior, and optimizing fraud detection processes.

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

Lead the development and optimization of AI-driven features, oversee junior engineers, and ensure the scalability of AI solutions while collaborating with cross-functional teams.

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 Business Development Manager drives growth by managing key accounts, identifying new business opportunities, and collaborating with marketing and sales to maximize profitability.

Lead regional marketing strategy for Feedzai, manage budgets, and collaborate with sales, product, and partners to drive demand generation and brand representation in the LATAM region.

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

The Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

The Data Product Manager will lead AI-powered computer vision initiatives, collaborating with global teams, managing product planning, and ensuring successful delivery and adoption across markets.