Senior Data Scientist, LLM

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create, refine, and assess Visual Language Models (VLMs) to improve document comprehension, with an emphasis on multimodal data such as text, images, and technical illustrations.

• Develop and execute data preparation, cleaning, and augmentation strategies specifically designed for multimodal model training, ensuring high-quality data pipelines for VLMs.

• Utilize transfer learning and pre-trained models to expedite model development and enhance performance on Xometry’s unique datasets.

• Employ cloud resources (e.g., Amazon Web Services) to efficiently scale the training and fine-tuning processes for VLMs.

• Work in collaboration with data engineering and machine learning operations (MLOps) teams to implement VLMs in production and track their performance.

• Analyze model outputs and enhance model accuracy and robustness by employing data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).

• Test and apply cutting-edge model architectures, consistently optimizing VLM performance in a dynamic, iterative setting.

• Engage in a team-oriented environment, participating in peer evaluations, sharing insights, and contributing to a culture of continuous learning and advancement.

⛳️ Requirements

• A bachelor’s degree is mandatory; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related discipline is strongly preferred.

• Over 5 years of experience in data science and machine learning, with a specialization in Visual Language Models or multimodal machine learning.

• Extensive experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.

• Proficient in Python, including libraries like pandas, numpy, and scikit-learn.

• Comprehensive understanding of deep learning methodologies and experience with transfer learning, fine-tuning, and model assessment.

• Familiarity with cloud platforms (e.g., AWS SageMaker) for model training and deployment.

• Knowledge of data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and fundamental database concepts (e.g., Snowflake, MongoDB).

• Strong analytical and problem-solving capabilities, with a proven ability to thrive in an environment that encourages teamwork, innovation, and ongoing learning.

• Experience with computer vision tasks and frameworks, along with exposure to multimodal data, is a plus.

🏝️ Benefits

• Xometry is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity