Top Machine Learning Jobs in Fortaleza

Work with client data to develop fraud-detection models: clean and preprocess data, engineer features, build and tune ML models, create scalable pipelines, collaborate with clients and internal teams, communicate results, and contribute technical leadership and product enhancements.

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.

Create and review realistic, locale-specific robotics and natural sciences tasks in Brazilian Portuguese; apply scoring rubrics; evaluate and score AI and human responses for accuracy and regulatory alignment; produce gold-standard solutions and expert feedback.

Lead end-to-end delivery of Google Cloud adoption engagements. Coordinate cross-functional teams and executive stakeholders, scope and plan projects, mitigate risks, track adoption and utilization, integrate change management, mentor teams, and drive successful enterprise cloud migrations and modernization.

Lead LATAM partner ecosystem strategy and execution across GSIs, OEMs, acquirers, payment processors, hyperscalers, and ISVs. Drive partner-sourced and partner-influenced revenue, joint GTM plans, partner recruitment/onboarding, enablement, and performance governance using BI and PRM tools. Collaborate with sales, marketing, product, and customer success to scale Feedzai's footprint in LATAM.

As the Head of Credit for Brazil, you will develop credit policies, lead analytics teams, build risk models, and collaborate across teams to drive growth and ensure quality in credit offerings.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

The Research Engineer will design and build evaluation systems to measure data quality for Firecrawl's web data extraction, creating metrics and benchmarks, and collaborating on model improvements.

The Python Engineer will design and develop AI/ML-driven applications, optimizing models, collaborating with teams, and integrating AI features while working with diverse data types.

The Research Engineer will build training infrastructure and reward pipelines, fine-tune models, bridge RL with LLMs, run fast experiments, communicate findings, and collaborate with the research team at Firecrawl.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Refining and Petrochemical Process Optimization Engineer will optimize manufacturing processes using AI, working with plant personnel and leading project implementations.

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

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

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 VP of Product Development will lead a global engineering team for eDiscovery platforms, focusing on modernization, reliability, and AI integration while managing execution and stakeholder communication.

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

Design and create environments for data scientists, define deployment approaches for ML models, ensure quality and performance in production settings.

Develop and implement LLM workflows, collaborate with teams on AI/ML solutions, ensure quality delivery using CI/CD practices, and support technical duties.

The Machine Learning Engineer will develop RAG models, optimize machine learning systems, collaborate with clients, and lead AI projects for effective solutions.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

The role involves managing data infrastructure, optimizing pipelines, providing infrastructure support, ensuring code quality, and collaborating with teams on complex data challenges.