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.

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.

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

Lead engineering teams in automation and corporate systems, promoting technical excellence and aligning with business objectives. Drive AI adoption for operational efficiency and manage engineering processes.

Design and implement machine learning models, collaborate with teams, and maintain scalable pipelines for production. Requires strong SQL and Python skills.

As an IAM Automation Engineer, you'll design and implement automated workflows for identity management, improve RBAC models, and identify automation opportunities, enhancing security compliance and operational efficiency. Strong scripting capabilities and API integration are essential for this role.

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 Platform Solution Sales Executive will drive sales of FICO's Platform, manage relationships with enterprise clients, and collaborate with internal teams to deliver tailored solutions in the banking sector.

The Senior Solutions Consultant will collaborate with the sales team to identify client needs, deliver product demos, and manage RFP proposals for Feedzai's RiskOps platform.

The Senior Project Manager will lead complex software delivery projects, engage with clients, oversee distributed teams, and manage project financials and risks.

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.

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

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.

Lead a team of ML engineers to build personalization systems, architect multi-stage ranking systems, and improve model quality while mentoring others.

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

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

The Lead Product Manager will oversee the lifecycle of data and AI products, cultivate stakeholder relationships, drive product strategy, run experiments, and ensure successful market delivery.

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.

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.

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.

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.