18 publicaciones de empleo destacadas de site reliability engineer, observability en lanús, buenos aires (¡Están contratando!)

Machine Learning Engineer II
Xometry —Buenos Aires, Buenos Aires
Postulación rápida
14d
Senior Data Engineer
Monks —Capital Federal, Buenos Aires
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Senior Associate ServiceNow - Cloud & Infrastructure Operations
PwC —Buenos Aires, Buenos Aires
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Probabilistic Safety Analyst (PSA) / Analista Evaluación Probabilística de Seguridad (PSA)
AtkinsRéalis —Buenos Aires, Buenos Aires
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Cloud Architect
dLocal —Buenos Aires, Buenos Aires
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Postulación rápida
Senior/Staff Product Designer
n8n —Buenos Aires, Buenos Aires
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Staff Software Engineer (Product Systems & Platform Engineering)
EQUALS TRUE —Vicente López, Buenos Aires
- Tiempo completo
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Head of Software Engineering
Intraway —Buenos Aires, Buenos Aires
Senior Full Stack Engineer (Python/React)
Forager —Buenos Aires, Buenos Aires
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Sr Manager of Software Engineering - React Tech Lead
JPMorganChase —Buenos Aires, Buenos Aires
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Lead Software Engineering - .NET
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
Lead C# Software Architect
Marvik —Buenos Aires, Buenos Aires
Senior Staff Data Platform Architect
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Fullstack Developer (NET + React)
Remitee —Buenos Aires, Buenos Aires
Postulación rápida
12d
Fullstack Developer (NET + React)
Remitee (26594529) —Buenos Aires, Buenos Aires
12d
Principal Data and AI Architect
Salesforce —Buenos Aires, Buenos Aires
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Senior Salesforce Platform Architect
サイネオス・ヘルス —Buenos Aires, Buenos Aires
14d
Senior AI Platform Engineer
Endava —Buenos Aires, Buenos Aires
- Tiempo completo
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2h

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Machine Learning Engineer II

Xometry -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 14 días

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 looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you'll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You'll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

Design, build, and optimize machine learning models to enhance Xometry's platform and business operations.
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.
Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly 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, including 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 (e.g., 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.

#LI-Remote

#Promoted

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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site reliability engineer, observability empleos en lanús, buenos aires

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Lead Software Engineering - .NET

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Fullstack Developer (NET + React)

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