3 publicaciones de empleo destacadas de reliability engineer en buenos aires, b (¡Están contratando!)

Senior Machine Learning Engineer
Xometry —Buenos Aires, Buenos Aires
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Senior Machine Learning Engineer

Xometry -
Buenos Aires, Buenos Aires

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Detalles del empleo

Descripción completa del empleo

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform
Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers.
You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform
Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform
Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
Monitor machine learning models and AI performance and troubleshoot issues as they arise
Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively

Qualifications:

Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
An engineer with a self-driven attitude who can own problems and deliver solutions
Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking
Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
Experience building and consuming CI/CD pipelines
Someone who knows their way around the command line and has experience working with *nix systems
5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
3+ years experience leading cross-team engineering efforts
Strong execution skills in project management

#LI-Remote

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.

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