Top Machine Learning Jobs in Brazil

Lead end-to-end AI deployment of OfferFit by Braze: design use cases, run technical workshops, manage technical setup and UAT, drive customer success, improve playbooks, and influence product roadmap.

The Advisory Solutions Consultant supports LATAM sales for Strategic and Enterprise accounts by aligning customer requirements with SailPoint solutions, providing technical expertise, and delivering product demonstrations.

The Senior Product Owner will lead the Anti-Fraud Squad, enhancing security infrastructure, managing a technical backlog, and leveraging data for fraud prevention. Responsibilities include strategy, data analysis, and collaboration with engineering and data science teams.

As a Data Engineer, you will develop and maintain ETL processes using Python on Azure Synapse, design data warehouses, and ensure data quality and compliance through collaboration with cross-functional teams.

The AML-FT Analyst will oversee AML regulations, analyze data for suspicious activities, manage compliance documentation, and lead optimization strategies using AI tools.

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

As an Account Development Representative, you will generate leads, manage accounts, support sales, and collaborate with marketing to build a strong sales pipeline.

The Senior Machine Learning Engineer will enhance Xometry's ML capabilities, develop models for cost prediction, lead technology evaluations, and collaborate on AI solutions.

Responsible for managing a team of cloud engineers, overseeing technical tasks, engaging with clients, mentoring team members, and ensuring technical accountability on projects.

The role involves leading the design of AI-enabled platforms, improving AI solutions, setting MLOps standards, and coaching engineers. It focuses on the integration of AI in secure, scalable systems for enterprise solutions.

The role involves consulting with clients to understand their business needs, designing solutions, creating demonstrations, and preparing sales proposals. It requires strong communication and problem-solving skills, along with the ability to analyze business benefits and develop sales strategies.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

The Senior Software Engineer will develop and maintain a Computer Vision system for drive-thru automation using Python and ML technologies, collaborate with teams, and troubleshoot production issues.

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

Lead AI-driven solutions for Commercial and Medical Affairs, guiding teams on analytics, improving patient engagement, and enhancing decision-making processes.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

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.

The AI Deployment Lead will engage with clients, identify operational challenges, prioritize solutions, and drive the adoption of the Avra platform while collaborating with technical teams and providing feedback for product improvement.

This role involves leading industrial automation projects in the pulp and paper sector, focusing on MES solutions and technical delivery, while mentoring engineers and ensuring compliance with safety and cybersecurity standards.

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.

The Product Owner will manage the product backlog, translate business needs into user stories, ensure product alignment within Agile teams, and drive continuous improvement of product outcomes, especially in AI/data-driven products.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Python Engineer will design and develop AI/ML-driven applications, optimize models, and collaborate with teams to deliver scalable solutions.

Lead AI transformation initiatives, develop strategies, and deliver solutions for customer success within a SaaS environment, ensuring measurable business outcomes through AI innovations.

The Machine Learning Engineer II will design, deploy, and maintain machine learning models, analyze data, and collaborate with teams to integrate solutions into production while ensuring performance and reliability.