Principal Machine Learning Data Scientist - Gen AI Join to apply for the Principal Machine Learning Data Scientist - Gen AI role at Xometry Principal Machine Learning Data Scientist - Gen AI 3 days ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Data Scientist - Gen AI role at Xometry Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities include providing technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development; leading strategic planning and roadmap development for generative AI initiatives; developing and deploying generative AI models and large language models (LLMs) for multimodal document processing; leading exploration and development of innovative text and image-based data processing solutions; designing and implementing efficient workflows for data preparation, cleaning, and augmentation; utilizing cloud platforms such as AWS for large-scale data processing, model training, and deployment; collaborating with cross-functional teams; mentoring and guiding team members; continuously experimenting and iterating on model performance; and staying updated with the latest research in generative AI and deep learning. Requirements include a bachelor’s degree (advanced degree preferred) in computer science, machine learning, AI, or related field; 7+ years of experience in data science and machine learning focusing on generative models, LLMs, or computer vision; expertise in large-scale language and vision models; experience with multimodal data processing; proficiency in Python and key libraries; strong background in probability, statistics, and optimization; familiarity with cloud computing resources and software engineering principles; experience in manufacturing or supply chain industries is a plus. The position is marked as indicating partial remote work.

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