Xometry is an industrial engineering technology company offering custom manufacturing and precision manufacturing applications on demand. Established in 2013, X
Senior Data Scientist, LLM
Location
Argentina
Posted
69 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist, LLM
Xometry
• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings. • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs. • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data. • Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently. • Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance. • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL). • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment. • Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.
Job Requirements
- A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
- 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
- Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
- Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
- Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
- Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
- Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
- Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.
Benefits
- Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
- For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Senior Data Scientist
XometryXometry is an industrial engineering technology company offering custom manufacturing and precision manufacturing applications on demand. Established in 2013, X
• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace. • Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions. • Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives. • Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary. • Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development. • Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment. • Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches. • Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.
• We are seeking a talented data scientist who has a passion for solving business problems by providing data insights through data modeling and analysis. • This position works with senior leadership and data/technology teams to understand and solve complex business problems by developing data models and various techniques to analyze the health populations.
Senior Data Scientist
SmarterDxSmarterDx, founded in 2020 in New York, New York, is a health technology company focused on clinical AI solutions that enhance hospital revenue integrity and ca
• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance. • Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development. • Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows. • Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams. • Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs. • Adapt and enhance existing modeling approaches to drive impact in new product areas. • Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.
• Draft documentation, project plans etc. to support Projects, Technical and/or Sales teams. • Conduct analysis and produce metric reports and dashboards to support business decisions and strategies. • Deliver key activities to deadlines related to the functional internship you are assigned to. • Connect with internal/external customers in support of project execution. • Maintain status updates on project and/or team activities and communicate to all relevant stakeholders.
