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Senior Applied AI/ML Developer

Autodesk · Remoto Brasil · Flexible / Remote

Publicada em 16/09/2026

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Job Requisition ID #26WD99788L'affichage de poste en français suivra / The French job posting follows.26WD99788 Senior Applied AI/ML DeveloperPosition overviewAs a Senior ML Developer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and pushing features into the hands of users.The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology.Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team.As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.ResponsibilitiesDesign and implement Machine Learning capabilities that improve Autodesk's RAG platformsPerform statistical and data analysis and exploration to generate datasets for model training and developmentCollaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practiceProvide technical leadership and mentorship for less-experienced members of the team to deliver
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