Senior MLOps Engineer: AI Infrastructure & Scale

Find Job Latam; A distancia; PEN 235,000 - 303,000; Jornada completa

Descripción de la vacante

A recruitment partner is seeking an MLOps Engineer / AI Infrastructure Specialist in Lima, Peru. This role involves designing and implementing scalable MLOps pipelines, collaborating with data scientists, and automating workflows using CI/CD tools. Ideal candidates will have over 8 years of experience, strong Python skills, and proficiency in Docker and Kubernetes. Join a collaborative team focused on deploying and managing machine learning infrastructure in an innovative environment.

Formación

• 8+ years of experience as an MLOps Engineer / AI Infrastructure Specialist.
• Strong punctuality and reliability for meetings.
• Proficient in Python, with experience deploying models using TensorFlow and/or PyTorch.

Responsabilidades

• Design, implement, and maintain scalable MLOps pipelines for training, evaluation, and deployment.
• Automate workflows using CI/CD tools.
• Manage containerized environments with Docker and orchestrate deployments via Kubernetes.
• Partner with data scientists and engineers to streamline experimentation and productionize ML models.
• Deploy, monitor, and manage models on cloud ML platforms.
• Ensure reliability, monitoring, versioning, and automated rollback of ML systems.

Conocimientos

English proficiency B2+

Python proficiency

Docker experience

Kubernetes experience

CI/CD pipeline implementation

Herramientas

GitLab

Jenkins

GitHub Actions

AWS SageMaker

Azure ML

Vertex AI

Descripción del empleo

A recruitment partner is seeking an MLOps Engineer / AI Infrastructure Specialist in Lima, Peru. This role involves designing and implementing scalable MLOps pipelines, collaborating with data scientists, and automating workflows using CI/CD tools. Ideal candidates will have over 8 years of experience, strong Python skills, and proficiency in Docker and Kubernetes. Join a collaborative team focused on deploying and managing machine learning infrastructure in an innovative environment.