Top Machine Learning Jobs in Sao Paulo

The Director of Machine Learning at PureSpectrum is responsible for developing and implementing AI and machine learning strategies to enhance market research. This role involves leading initiatives for generative AI models, collaborating with cross-functional teams, and integrating NLP techniques to improve data quality and consumer insights.

As a Lead Machine Learning Engineer, you will design scalable machine learning systems, oversee project inception, and lead a team in developing impactful ML applications. This role requires a strategic mindset for aligning technical goals with organizational objectives, and championing innovation through collaboration and continuous improvement.

As a Senior Software Engineer on the ML Platform Engineering team, you’ll develop and expand core infrastructure for AI/ML products. Responsibilities include technical contributions in design, documentation, collaboration within a cross-functional team, and ownership of deployed services in AWS and Kubernetes.

As a Machine Learning Solutions Architect, you will design data solutions, extract data for analysis, define deployment strategies for models, and provide thought leadership on technology choices. You will implement infrastructure and ensure that data science models can be effectively utilized by businesses.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

The Senior Product Manager for the AI Pricing Engine will define the product vision and strategy, develop a roadmap for pricing accuracy, collaborate with data science and engineering teams to build and integrate machine learning models, and lead cross-functional efforts to optimize pricing strategies and enhance customer experience.

The Senior ML Backend Engineer will design, build, and maintain scalable backend systems for enterprise security products. Responsibilities include translating business goals into technical specifications, working with various architectures, writing code in Python and JavaScript/TypeScript, ensuring code quality with tests, and participating in code reviews. The position requires 5+ years of experience in production systems and knowledge of orchestration platforms and databases.

The DataOps/ML Engineer role involves developing high-quality applications, utilizing AWS services and machine learning tools. Responsibilities include automating deployment pipelines and implementing ML monitoring systems, while collaborating in a dynamic environment. Candidates should have strong coding experience and familiarity with various technologies in cloud and machine learning.