Top Machine Learning Jobs in Fortaleza

As a Machine Learning Solutions Architect, you will design and implement data solutions, provide thought leadership, and ensure scalable deployment of machine learning models.

Build and maintain production ML infrastructure: deploy, monitor, and scale models; create automated end-to-end pipelines; implement CI/CD for model releases; establish monitoring/logging/alerting; optimize system architecture for reliability, scalability, and cost; collaborate with data scientists and engineers to operationalize models.

Design and implement recommender systems, manage ML pipelines, optimize models, and collaborate with teams to improve customer engagement.

Build and own production ML and LLM systems for onboarding, risk, compliance, and operations. Design models, engineer features from messy data, balance performance and interpretability, integrate with backend training/inference pipelines, write tested code, and partner with product and operations to drive scalable, reliable automation.

The Machine Learning Architect will design scalable AI and ML solutions, lead architecture development, implement MLOps, and collaborate with teams for effective machine learning capabilities.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Drive development of AI products focused on Knowledge Graphs and LLMs, design architectures, integrate data, and build APIs.

As a Senior ML Engineer, you will lead the production of ML and AI systems, maintain the ML API, mentor team members, and improve agent cost and latency.

Lead the architecture and implementation of machine learning solutions, ensuring scalable and secure environments for data teams while collaborating with clients and various stakeholders.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

The Principal AI/ML Architect leads client engagements, advising on ML architecture and strategies, overseeing ML systems, and ensuring technical quality for diverse customer needs with a focus on AWS technologies.

Join the Advanced Accelerator Training Program to master AI/ML skills, engage in real projects, and prepare for impactful roles. Requires 4+ years of ML experience and proficiency in Python and relevant frameworks.

The AI/ML Engineering Manager will lead a team of ML engineers, manage client engagements, shape architecture, and drive pre-sales while ensuring team growth and performance.

The Engineering Matcher connects clients with technical talent by analyzing resumes, conducting interviews, and maintaining a candidate pool while collaborating with stakeholders.

The Senior Machine Learning Engineer designs and maintains ML solutions, collaborates on data-driven projects, and mentors junior engineers.

Seeking a Software Engineer with 5+ years in AI/ML to design and implement scalable web APIs and applications, focusing on generative AI solutions, while engaging cross-functional teams and mentoring junior developers.

Train and evaluate machine learning models, build predictive models, design feature pipelines, and integrate models into production systems.