19 publicaciones de empleo destacadas de integration software engineer en buenos aires, b (¡Están contratando!)

Machine Learning Engineer II
Xometry —Buenos Aires, Buenos Aires
Postulación rápida
14d
Salesforce Technical Lead
Launchpad Technologies —Buenos Aires, Buenos Aires
Postulación rápida
5h
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Buenos Aires, Buenos Aires
- Tiempo completo
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Buenos Aires, Buenos Aires
- Tiempo completo
8d
AI Engineering Manager | Remote | Europe
n8n —Buenos Aires, Buenos Aires
- Tiempo completo
OpenShift Technical Account Manager
Red Hat, Inc. —Buenos Aires, Buenos Aires
- Tiempo completo
Lead .NET Engineer
N-iX —Capital Federal, Buenos Aires
Postulación rápida
Product Delivery Senior Manager
TELUS Digital —Buenos Aires, Buenos Aires
- Tiempo completo
Application Engineer - Hyperion Financial Management
Chevron —Buenos Aires, Buenos Aires
- Tiempo completo
Application Developer - EY Global Delivery Services
EY —Capital Federal, Buenos Aires
Senior Fullstack Developer (C#/.NET)
Marvik —Buenos Aires, Buenos Aires
5d
Senior/Staff Product Designer
n8n —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Blockchain Wallet Engineer
Web: —Buenos Aires, Buenos Aires
- Tiempo completo
Solution Architect – PCN Utility
Chevron —Buenos Aires, Buenos Aires
- Tiempo completo
1d
Engineering Manager & Site Lead (Buenos Aires, Argentina)
Lendbuzz —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Director of Engineering
Intuition Machines, Inc. —Buenos Aires, Buenos Aires
- Por contrato
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Senior Security Infrastructure Engineer
Sezzle —Buenos Aires, Buenos Aires
Sr Salesforce Developer Arg/Brasil/Uruguay
Web: —Buenos Aires, Buenos Aires
- Tiempo completo
Senior DevSecOps [US Client]
PwC —Buenos Aires, Buenos Aires
- Tiempo completo

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Salesforce Technical Lead
Launchpad Technologies —Buenos Aires, Buenos Aires
Act as the technical reference for a small Salesforce team (4–5 developers/admins). Support estimation and planning from a technical perspective.
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Providing technical support during technical meetings, product presentations, and negotiations. Performing analytics and diagnostic studies to determine the…
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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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integration software engineer empleos en buenos aires, b

Machine Learning Engineer II

Salesforce Technical Lead

Technical Product Manager QVAC - 100% remote

Data Engineer (Azure) - Remote, Latin America

AI Engineering Manager | Remote | Europe

OpenShift Technical Account Manager

Lead .NET Engineer

Product Delivery Senior Manager

Application Engineer - Hyperion Financial Management

Application Developer - EY Global Delivery Services

Senior Fullstack Developer (C#/.NET)

Senior/Staff Product Designer

Senior Blockchain Wallet Engineer

Solution Architect – PCN Utility

Engineering Manager & Site Lead (Buenos Aires, Argentina)

Director of Engineering

Senior Security Infrastructure Engineer

Sr Salesforce Developer Arg/Brasil/Uruguay

Senior DevSecOps [US Client]

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