7 publicaciones de empleo destacadas de machine learning engineer en parque patricios, b (¡Están contratando!)

Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)
Google —Buenos Aires, Buenos Aires
- Tiempo completo
3d
Data Engineer with Azure, Senior-Level
Globant —Buenos Aires, Buenos Aires
6d
Business Data Scientist - CFO
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Cybersecurity Engineer-AR
Globant —Buenos Aires, Buenos Aires
7h
AI Engineer
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Machine Learning Engineer
Mercado Libre —Capital Federal, Buenos Aires
3h
Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
1h

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Data Engineer with Azure, Senior-Level
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6d

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Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)

Google -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo
Hace 3 días

Descripción completa del empleo

For Santiago, Buenos Aires, Bogota and Lima candidates: Please submit your resume in English - we can only consider applications submitted in this language.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Santiago, Chile; Buenos Aires, Argentina; Bogotá, Bogota, Colombia; Lima, Peru.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
6 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
3 years of experience architecting and implementing APIs in Apigee, using a combination of technologies, languages, and standards such as REST, SOAP, GraphQL, OpenAPI, Python, Java, JavaScript, and Kubernetes.
Experience in deployment planning, orchestration, or change management.
Experience in programming languages (e.g., Python, Java, Go), debugging, or systems design.
Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

Experience selling or promoting technical solutions in Application Modernization (App Mod), Infrastructure Modernization (Infra Mod), and cloud migrations.
Experience working with product and capacity teams to resolve complex technical blockers.
Experience in developing and deploying solutions in a fluid, digital-native or startup environment.
Direct experience designing and deploying solutions leveraging Artificial Intelligence (AI) or Machine Learning (ML) models.
Knowledge of Enterprise Performance Management (EPM) platforms and system architecture integrations.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (PCE) specializing in AppMod and Apigee, you will serve as a deep domain specialist deployed to solve complex customer issues for our LATAM accounts. You will leverage your technical expertise to influence customer domain experts and feed real-world knowledge back into product development. You will engage in development and prototyping within your domain, proving the value of the Google Cloud portfolio and driving the technical win for advanced, cloud-native architectures.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Drive the technical win for complex Application Modernization, Apigee integrations, and AI workloads.
Lead development and prototyping to build functional, customer-tailored solutions that secure technical buy-in from customer domain experts (such as CTOs, CISOs, and Lead Architects).
Partner with Account teams, Platform CEs, and Outcome CEs to lead highly technical conversations regarding how to integrate advanced modern architectures into legacy ecosystems.
Advocate for and build with Google Cloud’s Artificial Intelligence (AI) and Machine Learning portfolios, ensuring local teams have the technical depth to deliver AI solutions with less dependency on external specialist groups.
Serve as a liaison between complex customer deployments and Google Cloud's Practice Go-to-Market (GTM), Product Management, and Engineering organizations to resolve product blockers and shape future features.

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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machine learning engineer empleos en parque patricios, b

Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)

Data Engineer with Azure, Senior-Level

Business Data Scientist - CFO

Senior Cybersecurity Engineer-AR

AI Engineer

Machine Learning Engineer

Software Engineer II - Python

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