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Machine Learning Engineer II at Xometry | Buenos Aires, Argentina

XometryBuenos Aires, Argentina
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Qualifications:A bachelor's degree is required; an advanced degree (M. S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. Experience with machine learning frameworks and tools. Strong analytical skills and a data-driven mindset. Excellent collaboration and communication skills. Ability to work in a fast-paced environment and manage multiple projects.

About the job

Xometry (NASDAQ: XMTR) is at the forefront of transforming industries by bridging innovative thinkers with manufacturers capable of realizing their visions. Our digital marketplace equips manufacturers with essential resources for growth while simplifying access for buyers from Fortune 1000 companies to leverage global manufacturing capabilities.

Xometry is actively seeking a Machine Learning Engineer II passionate about enhancing machine learning capabilities and deploying models at scale. In this pivotal role, you will design, implement, and maintain resilient statistical and machine learning models, collaborating closely with data scientists to convert research and experimentation into dependable, high-impact systems. You will utilize your data intuition and engineering expertise to boost model performance, reliability, and visibility, while developing predictive models that assist in pricing, cost estimation, and sourcing recommendations.

Key Responsibilities:

  • Design, develop, and optimize machine learning models to enhance Xometry's platform and operational efficiency.
  • Analyze extensive datasets to uncover significant patterns and insights.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Adopt and implement best practices in model evaluation, performance tuning, and deployment.
  • Drive technical direction by identifying opportunities to refine modeling techniques, improve data quality, and enhance system architecture.
  • Ensure machine learning solutions are explainable, maintainable, and aligned with business objectives.
  • Facilitate the transition from research to production, ensuring models perform effectively in real-world scenarios as they do in theoretical frameworks.
  • Gain exposure to the latest machine learning frameworks and tools utilized within the manufacturing sector.

About Xometry

Xometry (NASDAQ: XMTR) is revolutionizing the manufacturing industry by connecting innovative thinkers with the resources needed for success. Our digital marketplace empowers manufacturers and simplifies access for enterprise buyers, enhancing operational capabilities and driving growth.

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