Top Machine Learning Jobs in Brazil

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 DataOps/ML Engineer will develop high-quality applications using Python and AWS services. Responsibilities include utilizing AWS ML services, implementing machine learning models, managing deployment pipelines, and working with container technologies while ensuring robust monitoring and automation solutions.

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 will develop high-quality applications, contribute to challenging projects, and utilize advanced AWS services for machine learning. Responsibilities include coding in Python, using ML monitoring tools, and managing automated deployment pipelines in a collaborative environment.

The DataOps/ML Engineer will develop high-quality applications, focusing on machine learning and automation tools. Responsibilities include leveraging AWS services, monitoring ML processes, and working with container and infrastructure technologies. The role encourages professional growth in a collaborative environment.

As a DataOps/ML Engineer at Bluelight Consulting, you will develop high-quality applications in a collaborative environment. Duties include leveraging AWS services, utilizing machine learning frameworks like TensorFlow and PyTorch, and automating deployment pipelines with tools like GitLab CI/CD and Jenkins.

In this role, you will develop high-quality applications, utilize AWS services, and apply machine learning techniques using tools such as TensorFlow and PyTorch. You will also automate deployment pipelines and engage in continuous professional development while contributing to various client projects.

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.

The Manager of Field Engineering leads a team of Solutions Architects at Databricks, focusing on enterprise software, big data, and data engineering. Responsibilities include hiring, training, and ensuring customer success while maintaining a robust technical team adept in technical sales.

The Senior Solutions Architect at OfferFit will work closely with the Sales team to educate enterprise customers about the AI product, conduct proofs-of-concept, and facilitate technical discussions. They will also lead workshops and collaborate with various functions to enhance product offerings while building strong relationships with stakeholders.

As a GenAI Engineer, you will develop and implement AI solutions to enhance digital products, collaborate with Data Science and Data Engineering teams to address challenges, and ensure responsible AI practices throughout the project lifecycle.

As a Senior Data Scientist / Machine Learning Engineer at Poatek, you will design, develop, and deliver machine learning solutions, analyze complex datasets, establish automated processes, collaborate with peers, and demonstrate strong ownership and urgency.

As a Software Engineer at Black Crow AI, you will collaborate with cross-functional teams to develop and maintain scalable data pipelines and manage data solutions. The role involves designing efficient architectures for data models, troubleshooting, optimizing data processes, and participating in a supportive agile engineering environment.

Lead the AI Tutor project, manage data sets for model training, develop AI/ML models to improve teaching, collaborate with LMS developers, mentor the team, and communicate project progress to stakeholders.

As a Senior AI/ML Engineer, the role involves building machine learning models for search and recommendations, analyzing data to gain insights, and optimizing recommendation systems while collaborating with different stakeholders to impact business outcomes.

The Advanced Accelerator Program focuses on training engineers in either LLMs or MLOps, providing them with the skills to design, build, and maintain ML systems. Program graduates will master scalable ML solutions and apply software engineering best practices in production environments.