Mlops Engineer - 209+ ofertas

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Job Title: MLOps Engineer (Remote) Work Mode: Fully Remote Schedule: Flexible (up to 40 hours per week, based on project availability) Role Overview: We are looking for software engineers across Latin America to join a paid remote AI training program. In this role, you will review and evaluate AI-ge

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Job Title: MLOps Engineer (Remote) Work Mode: Fully Remote Schedule: Flexible (up to 40 hours per week, based on project availability) Role Overview: We are looking for software engineers across Latin America to join a paid remote AI training program. In this role, you will review and evaluate AI-ge

Qodea Limited

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join

GlobalLogic

GlobalLogic in Argentina is looking for Machine Learning / AI Engineers to design and deploy innovative solutions. The ideal candidate has over 2 years of experience in relevant fields, proficiency in Python and its frameworks, and familiarity with LLMs and MLOps practices. With a strong emphasis on

Qodea is seeking a Senior MLOps Engineer to bridge the gap between machine learning and production operations in Buenos Aires. Responsibilities include deploying and maintaining ML model pipelines, while ensuring scalability and observability of the systems. The ideal candidate will have proven expe

Qodea

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join

We look for people who embody Innovation to solve the hardest problems. Accountability for every result. Integrity always. Role Overview We are looking for an accomplished professional to bridge the gap between machine learning and reliable production operations. You will be responsible for the depl

Desde **** Hub estamos en la búsqueda de un/a MLOps Engineer para sumarse al equipo de una destacada empresa industrial ubicada en Pilar, Zona Norte (Buenos Aires). Objetivo del rol Desplegar, escalar y mantener modelos de machine learning en ambientes productivos, asegurando su integración producti

About the Company International technology company that works on complex cloud, data, and AI initiatives for global clients. We are looking for an accomplished professional to bridge the gap between machine learning and reliable production operations. You will be responsible for the deployment, moni

Qodea Limited

A leading global technology group seeks a Senior MLOps Engineer in Buenos Aires. This role involves deploying and managing machine learning models, focusing on generative AI and scalable systems. Responsibilities include optimizing CI/CD processes and implementing observability frameworks. The ideal

Qodea Limited

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join

Qodea is seeking a Senior MLOps Engineer to bridge the gap between machine learning and production operations in Buenos Aires. Responsibilities include deploying and maintaining ML model pipelines, while ensuring scalability and observability of the systems. The ideal candidate will have proven expe

We look for people who embody Innovation to solve the hardest problems. Accountability for every result. Integrity always. Role Overview We are looking for an accomplished professional to bridge the gap between machine learning and reliable production operations. You will be responsible for the depl

Qodea Limited

A leading global technology group seeks a Senior MLOps Engineer in Buenos Aires. This role involves deploying and managing machine learning models, focusing on generative AI and scalable systems. Responsibilities include optimizing CI/CD processes and implementing observability frameworks. The ideal

Web: busca un profesional para liderar la industrialización del ciclo de vida de modelos de IA en un entorno híbrido en CABA. El rol involucra trabajar con Machine Learning y DevOps, implementando soluciones en la nube y asegurando la escalabilidad de modelos. Se requiere experiencia en AWS o GCP, M

Accusys Technology busca un profesional experimentado en el diseño y mantenimiento de pipelines de ML y LLMs. El candidato ideal tendrá más de 5 años de experiencia en ML/AI engineering y será responsable de desplegar modelos en producción y liderar revisiones de arquitectura. Se ofrece un esquema d

ADN Recursos Humanos

ADN Recursos Humanos busca un profesional con más de cinco años de experiencia en ML/AI engineering y habilidades sólidas en Python para liderar la implementación de modelos ML en producción. La modalidad del trabajo es híbrida en Buenos Aires, y se requiere inglés técnico. El candidato ideal debe t

MissionHires is seeking a Senior MLOps Engineer in Buenos Aires to enhance production-grade machine learning systems. The role involves deploying, monitoring, and managing ML models with a strong emphasis on generative AI. Responsibilities include building efficient ML pipelines using Vertex AI or S

Condiciones de contratación Modalidad: Híbrida (1 o 2 días por semana) - CABA Inglés fluido Relación de dependencia: Directa con nuestro cliente ¿Cuál será tu misión? Serás el puente entre los equipos de Machine Learning y DevOps, liderando la industrialización del ciclo de vida de modelos de IA. Tu

GlobalLogic

GlobalLogic in Argentina is looking for Machine Learning / AI Engineers to design and deploy innovative solutions. The ideal candidate has over 2 years of experience in relevant fields, proficiency in Python and its frameworks, and familiarity with LLMs and MLOps practices. With a strong emphasis on