about 2 months ago
Buenos Aires, ArgentinaMid Level / Senior
Responsibilities
- Design, build, and optimize machine learning models to enhance Xometry’s platform.
- Analyze large datasets to extract meaningful patterns and insights.
- Collaborate with cross-functional teams to integrate machine learning models into production systems.
- Learn and apply best practices in model evaluation, performance tuning, and deployment.
- Identify opportunities to improve modeling approaches, data quality, and system architecture.
- Ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
- Bridge the gap between research and production to ensure model performance in real-world applications.
Requirements
- A bachelor’s degree is required; an advanced degree in computer science, machine learning, AI, or a related field is preferred.
- Experience deploying and maintaining machine learning models in production environments.
- 4+ years of experience in machine learning, focusing on data engineering and/or data science.
- Proficient in Python and key libraries such as PyTorch, TensorFlow, pandas, and numpy.
- Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
- Familiarity with cloud computing resources and tools for model training and deployment, such as AWS SageMaker.
- Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
- Experience in the manufacturing, supply chain, or similar industries is a plus.