Senior MLOps Engineer - Scalable ML Pipelines & Cloud

Continental; Lousado; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Challenging international work environment

Flexible working model

Continuous personal development opportunities

Resumo da oferta

Continental is hiring a MLOps Engineer for their Digital Solutions Department. You will design, deploy, and maintain robust ML pipelines, ensuring seamless model integration into production environments. Collaborating with cross-functional teams, you will power AI-driven insights in connected mobility.

The ideal candidate has an academic degree in Computer Science or related fields, over 3 years of MLOps experience, and strong programming skills in Python and SQL. Benefits include a flexible working model and continuous development opportunities.

Qualificações

• 3+ years of professional experience as a MLOps Engineer.
• Strong programming skills in Python and SQL.
• Expertise in CI/CD and automation tools.

Responsabilidades

• Design and manage CI/CD pipelines for ML models.
• Build and maintain scalable ML infrastructure.
• Automate deployment, monitoring, and rollback processes.
• Implement monitoring and feedback loops for model performance.
• Collaborate with data scientists and engineers.

Conhecimentos

Programming skills in Python

Strong in SQL

CI/CD expertise

Containerization (Docker, Kubernetes)

ML model deployment

Knowledge of cloud platforms (AWS, Azure)

Monitoring tools expertise (Grafana)

Workflow orchestration (Airflow)

Agile project management methods

Formação académica

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

Ferramentas

MLflow

SageMaker

GitHub Actions

Descrição da oferta de emprego

Continental is hiring a MLOps Engineer for their Digital Solutions Department. You will design, deploy, and maintain robust ML pipelines, ensuring seamless model integration into production environments. Collaborating with cross-functional teams, you will power AI-driven insights in connected mobility.

The ideal candidate has an academic degree in Computer Science or related fields, over 3 years of MLOps experience, and strong programming skills in Python and SQL. Benefits include a flexible working model and continuous development opportunities.