Top Machine Learning Jobs in Brazil

As a DataOps/ML Engineer at Bluelight Consulting, you will work on developing high-quality applications, leveraging your skills in Python and AWS services. You will be involved in machine learning operations and automation tools, collaborating on impactful projects while promoting continuous learning and personal growth.

As a DataOps/ML Engineer at Bluelight Consulting, you'll develop high-quality applications leveraging Python, AWS services, and various ML tools. You will be responsible for contributing to meaningful projects in a collaborative, fast-paced environment that values professional growth and personal development.

The role involves developing high-quality applications using Python, AWS services, and various machine learning frameworks and tools. Responsibilities include automation, monitoring of ML processes, and managing infrastructure with container technologies.

The DataOps/ML Engineer will contribute to the development of high-quality applications, leveraging strong coding skills in Python and expertise in AWS and ML tools. Responsibilities include building ML models, monitoring ML operations, and streamlining CI/CD pipelines in a collaborative environment.

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.

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.

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.

As a DataOps/ML Engineer, you will contribute to developing high-quality applications using AWS services and machine learning tools, ensuring effective automation and monitoring of ML pipelines, while collaborating in a dynamic team environment.

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 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 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.

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.

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.

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.

As a Data Scientist at BEES, you will develop machine learning and deep learning algorithms for tasks such as portfolio optimization, recommendations, and insights discovery. You will analyze datasets, collaborate with cross-functional teams, and utilize cloud platforms for scalable solutions.