Flexible MLOps Engineer: Build Scalable ML Pipelines

Continental; Portugal; Hybrid; EUR 45,000 - 70,000; Full time

Benefits offered by this job

Flexible working model

Continuous personal development

Collaborative working style

Job summary

Continental is looking for a MLOps Engineer in Portugal to transform machine learning into scalable, production-ready solutions. You will design and maintain sophisticated ML pipelines, ensuring seamless model integration and performance optimization.

Join us to lead projects with cross-functional teams, foster knowledge sharing, and utilize cutting-edge cloud technologies. We offer a flexible working model and a dynamic environment for personal and professional growth.

Qualifications

• 3+ years of professional experience as a MLOps Engineer.
• Strong programming skills in Python and SQL.
• Hands-on experience with ML model deployment and lifecycle management.

Responsibilities

• Design and manage CI/CD pipelines for ML models.
• Build and maintain scalable ML infrastructure on cloud platforms.
• Automate deployment, monitoring, and rollback processes.

Skills

Python

SQL

CI/CD and automation tools

Docker

Kubernetes

ML model deployment

AWS or Azure

Monitoring tools (Grafana)

Workflow orchestration (Airflow)

Agile project management

Education

Academic degree in Computer Science, IT, Engineering, Mathematics, or related field

Tools

GitHub Actions

MLflow

SageMaker

Job description

Continental is looking for a MLOps Engineer in Portugal to transform machine learning into scalable, production-ready solutions. You will design and maintain sophisticated ML pipelines, ensuring seamless model integration and performance optimization.

Join us to lead projects with cross-functional teams, foster knowledge sharing, and utilize cutting-edge cloud technologies. We offer a flexible working model and a dynamic environment for personal and professional growth.