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Senior Data Scientist specializing in LLMs at Xometry | Buenos Aires

XometryBuenos Aires, Argentina
On-site Contract

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Experience Level

Senior

Qualifications

Key Responsibilities:Design, refine, and assess Visual Language Models (VLMs) to improve document understanding, with a focus on multimodal data such as text, images, and technical drawings. Create and execute data preparation, cleaning, and augmentation processes tailored for multimodal model training, ensuring robust data pipelines for VLMs. Utilize transfer learning and pre-trained models to expedite model development and optimize performance with Xometry’s unique datasets. Employ cloud platforms (e.g., Amazon Web Services) to efficiently scale the training and fine-tuning processes for VLMs. Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs effectively.

About the job

Xometry (NASDAQ: XMTR) is at the forefront of industrial innovation, bridging the gap between visionary thinkers and manufacturers capable of transforming ideas into reality. Our digital marketplace empowers manufacturers with essential resources for growth while enabling Fortune 1000 buyers to access global manufacturing capabilities seamlessly.

We are currently seeking a Senior Data Scientist to join our dynamic Generative AI team. In this pivotal role, the successful applicant will be responsible for training and fine-tuning Visual Language Models (VLMs) aimed at advanced multimodal document comprehension. The ideal candidate will apply their deep expertise in machine learning and computer vision to enhance Xometry's proficiency in processing and extracting structured information from complex documents and images. This position is a 1-year contract.

About Xometry

Join Xometry, a leader in the digital manufacturing marketplace, where we are committed to connecting innovators with manufacturers. Our platform not only provides critical resources for manufacturers to thrive but also simplifies the procurement process for buyers from Fortune 1000 companies, enabling them to leverage global manufacturing capabilities effortlessly.

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