MLOps Engineer / AI Infrastructure Specialist OC-29

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

Our partner is looking for talented professionals ready for the next step in their careers. This role offers a collaborative environment with meaningful challenges and rewarding growth opportunities.

As a MLOps Engineer / AI Infrastructure Specialist, you'll support multiple projects, collaborate with cross-functional teams, and communicate progress transparently. Ideal candidates enjoy solving complex problems, helping teams succeed, and pushing themselves to deliver high-impact infrastructure.

Job Summary

Join an advanced AI/ML team where youll architect, automate, and scale machine learning infrastructure. This position is perfect for someone passionate about MLOps, DevOps, and production-grade AI systems.

Responsibilities

• Design, implement, and maintain scalable MLOps pipelines for training, evaluation, and deployment.
• Automate workflows using CI/CD tools (GitLab, Jenkins, GitHub Actions).
• 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 (AWS SageMaker, Azure ML, Vertex AI).
• Ensure reliability, monitoring, versioning, and automated rollback of ML systems.
• Maintain reliability and punctuality in remote team environments.

Requirements

• English proficiency B2+ (written and spoken).
• 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.
• Hands-on experience with Docker and Kubernetes.
• Strong background in CI/CD pipeline implementation.
• Proven experience with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI).

Nice to Have

• Experience with workflow orchestration tools (Kubeflow, Airflow) or platforms like Databricks.
• Familiarity with monitoring and IaC tools (Prometheus, Grafana, Terraform).
• Experience with data versioning tools such as DVC or LakeFS.