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Machine Learning Engineer II

1 hour, 30 minutes ago
Argentina
Contract
Mid Level
Machine Learning Engineer
Software Development
CI/CD Git Machine Learning NumPy Pandas Python PyTorch SageMaker Statistics TensorFlow
Apply Now
Xometry

Xometry

Xometry is a top AI-enabled marketplace for on-demand manufacturing, providing CNC machining, 3D printing, and more. Fast lead times and high-quality custom parts for engineers and designers worldwide.

Industrial Conglomerates
251-1K
Founded 2013
View All Jobs 59

Description

  • Design, build, and optimize machine learning models for Xometry’s platform and business operations.
  • Analyze large datasets to uncover meaningful patterns and insights.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • 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 so models perform reliably in real-world environments.
  • Work with modern machine learning frameworks, tools, and techniques used in manufacturing.

Requirements

  • Bachelor’s degree required; advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
  • 4+ years of experience in machine learning, with a focus on data engineering and/or data science.
  • Experience deploying and maintaining machine learning models in production environments.
  • Proficiency in Python and 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 model training/deployment tools such as AWS SageMaker.
  • Working knowledge of software engineering principles, including version control, reproducibility, and continuous integration.
  • Experience in manufacturing, supply chain, or a similar industry is a plus.

Benefits

  • Remote work environment (#LI-Remote).
  • Equal opportunity employer with inclusive hiring practices.
  • E-Verify participation for U.S.-based roles.
  • Federal Form I-9 verification support after job offer acceptance.

Interested in this position?

Apply directly on the company website

Apply Now

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