Top Artificial Intelligence Jobs in Rio de Janeiro
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 Principal Engineer, you will design and implement complex software systems, focusing on Python and AI while working with AWS and Azure environments. Collaborating with international clients, you will contribute to innovative digital solutions and help foster a nurturing work atmosphere at Oowlish.
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.
Acklen Avenue seeks AI Engineers to join their talent database for future opportunities. Applicants should have advanced English skills and be based in LATAM, including various countries. The role involves collaboration in outsourced development teams, focusing on agile software delivery and staff augmentation to meet client needs in various industries.
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.
Outlier seeks a software engineer to provide coding expertise for training AI models. Responsibilities include crafting computer science questions and evaluating AI-generated code. This freelance position offers flexible, remote hours.
The Azure AI Specialist will lead the design and deployment of advanced AI solutions using Azure's AI services, implement generative AI models, support machine learning pipelines, and integrate Azure's tools to drive innovation. This role requires collaboration with cross-functional teams and effective communication of technical concepts to stakeholders.
Outlier seeks experienced software engineers for a freelance role in training AI models. Responsibilities include crafting computer science questions and evaluating AI-generated code. Flexibility in hours allows coding experts to work according to their schedule.
The job involves providing coding expertise to train AI models by crafting and answering computer science questions, and evaluating AI-generated code. It is a freelance, remote position requiring flexible hours, dedicated to enhancing AI model performance without requiring prior AI experience.
As an AI Engineer at CrewAI, you will develop and deploy AI solutions using Large Language Models and AI agents. Responsibilities include managing Docker, enhancing open-source models, and collaborating with a remote team to innovate in AI.
Outlier seeks experienced software engineers to provide coding expertise for training AI models. Responsibilities include crafting and evaluating computer science-related questions and assessing AI-generated code. This is a freelance role, offering flexible hours and the possibility of incentive payments based on project involvement.
The Senior AI Engineer will build applications focusing on GenAI solutions, working collaboratively with a distributed team. Responsibilities include implementing innovative AI applications, conducting code reviews, ensuring communication and quality standards, and refining the GenAI strategy while navigating ambiguity in a growing startup.
As a Senior AI Engineer, you will design, implement, and maintain scalable full-stack components, collaborate with machine learning engineers to integrate AI models, build AI platforms, and implement CI/CD pipelines while ensuring robust communication through RESTful APIs.
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.
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