20 publicaciones de empleo destacadas de ai pipeline engineer en b (¡Están contratando!)

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Buenos Aires, Buenos Aires
- Tiempo completo
2d
Full Stack AI Engineer
Diffco —Buenos Aires, Buenos Aires
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AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —Buenos Aires, Buenos Aires
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Senior Software Engineer - AI
Beyond —Buenos Aires, Buenos Aires
- Tiempo completo
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Data Engineer – Data Platforms & AI Tooling (Remote, LATAM)
ITX Corp —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
4d
Data Scientist, Applied AI - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Data Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Cloud DevOps Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Machine Learning Engineer (Edge AI & Computer Vision)
Marvik —Buenos Aires, Buenos Aires
Senior Frontend Engineer
Intuition Machines, Inc. —Buenos Aires, Buenos Aires
- Por contrato
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EventMobi —Buenos Aires, Buenos Aires
- Tiempo completo
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Silver.dev —Buenos Aires, Buenos Aires
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SW Engineer
Kyndryl —Buenos Aires, Buenos Aires
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Computer Vision DATA Engineer - Fully Remote USD - Latin America based
Glacier —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Product Engineer (Full-Stack + 3D Visualization) Remote English Mandatory
Selection Book —Buenos Aires, Buenos Aires
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —Buenos Aires, Buenos Aires
- Tiempo completo
Backend Engineer — Buenos Aires, Argentina
Baasi —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Data Engineer
Netrix Global —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Full Stack Software Developer Junior
Cognizant —Buenos Aires, Buenos Aires
- Tiempo completo
Software Engineer - Backend, Python
Beyond —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
14d

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Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Google -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo
Hace 2 días

Descripción completa del empleo

In most instances, this position requires in-person interviews as part of the hiring process.

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
2 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Experience leading technical discovery sessions.
Knowledge of "Large Language Model (LLM)-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. Your role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Design, develop, test, deploy, maintain, and improve machine learning models and AI software components.
Implement and optimize ML algorithms using frameworks like TensorFlow, PyTorch, JAX, or others.
Work with large-scale datasets, leveraging Google's infrastructure for data preprocessing, feature engineering, and model training.
Collaborate closely with product managers, researchers, and other engineering teams to translate product requirements into technical solutions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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ai pipeline engineer empleos en b

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Full Stack AI Engineer

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Senior Software Engineer - AI

Data Engineer – Data Platforms & AI Tooling (Remote, LATAM)

Data Scientist, Applied AI - Remote

Data Engineer - Latin America - Remote

Cloud DevOps Engineer - Latin America - Remote

Machine Learning Engineer (Edge AI & Computer Vision)

Senior Frontend Engineer

Senior Front End Engineer - Remote

Siena - Fullstack Engineer

SW Engineer

Computer Vision DATA Engineer - Fully Remote USD - Latin America based

Senior Product Engineer (Full-Stack + 3D Visualization) Remote English Mandatory

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

Backend Engineer — Buenos Aires, Argentina

Data Engineer

Full Stack Software Developer Junior

Software Engineer - Backend, Python

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