Remote MLOps Engineer: Databricks, Kubernetes & CI/CD

Aderen; Ares; Presencial; EUR 44.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Freelance contract

Long-term project

Descripción de la vacante

Aderen is seeking an MLOps specialist to design and implement end-to-end ML operations infrastructure, including agent deployment, monitoring, and lifecycle management. This is a full-time freelance contract with 100% remote work from Spain.

The role emphasizes Databricks Mosaic AI administration and Kubernetes-based inference environments. Key requirements include expert Databricks Mosaic AI platform administration, MLflow tracking, Docker containerization, Terraform/ARM templates, and CI/CD

Formación

• Expert-level Databricks Mosaic AI platform administration.
• Agent deployment pipelines and lifecycle management.
• MLflow for model and agent lifecycle tracking.
• Agent monitoring, logging, and performance tracking.
• Kubernetes orchestration for inference runtime environments.
• Databricks Jobs, Workflows, and agent scheduling.
• Multi-agent system orchestration and resource management.
• Docker containerization and registry management.
• Monitoring and observability tools (Prometheus, Grafana).
• Infrastructure as Code (Terraform, ARM templates).
• CI/CD pipelines for ML models, agents, and data pipelines.

Conocimientos

Databricks Mosaic AI

Agent deployment

Agent lifecycle

MLflow

Agent monitoring

Kubernetes

Databricks Jobs

Multi-agent orchestration

Docker

Observability

Terraform

ARM templates

CI/CD for ML

Prometheus

Grafana

Herramientas

Databricks

Kubernetes

MLflow

Docker

Prometheus

Grafana

Terraform

ARM templates

Descripción del empleo

Aderen is seeking an MLOps specialist to design and implement end-to-end ML operations infrastructure, including agent deployment, monitoring, and lifecycle management. This is a full-time freelance contract with 100% remote work from Spain.

The role emphasizes Databricks Mosaic AI administration and Kubernetes-based inference environments. Key requirements include expert Databricks Mosaic AI platform administration, MLflow tracking, Docker containerization, Terraform/ARM templates, and CI/CD