Senior MLOps Engineer: Deploy & Monitor ML Pipelines

Smadex; Barcelona; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading advertising technology company in Barcelona seeks a skilled Machine Learning Engineer to join the MLOps team. The ideal candidate will design and implement ML pipelines, develop automation workflows, and ensure the reliability of ML systems. A strong proficiency in Python and a good understanding of ML lifecycle and DevOps practices are needed. Join a motivated team in a vibrant work environment with great perks including flexible hours, health insurance, and more.

Servicios

Great compensation package

Flexible working option

Meal vouchers

Private Health Insurance

Monthly gym allowance

Regular team-building events

Formación

• 3+ years of experience in the ML Engineering field.
• Proficiency in Python and data related libraries.
• Good understanding of CI/CD pipelines.
• Experience in Linux environments.
• Fluency in English.

Responsabilidades

• Design, implement, and maintain end-to-end pipelines for ML model deployment.
• Develop automated workflows for CI/CD in ML systems.
• Implement monitoring and alerting systems for production ML models.
• Develop Python scripts for algorithmic decision making.
• Troubleshoot issues in real-time ensuring system availability.
• Collaborate with the Machine Learning team for model retraining.
• Write and maintain high-quality Python code.

Conocimientos

Python coding

Machine Learning lifecycle

MLOps best practices

CI/CD pipelines

Problem-solving skills

Analytical skills

Communication skills

Educación

Master's degree in Computer Science or related fields

Herramientas

Pandas

NumPy

AWS services

Docker

Kubernetes

Terraform

Descripción del empleo

A leading advertising technology company in Barcelona seeks a skilled Machine Learning Engineer to join the MLOps team. The ideal candidate will design and implement ML pipelines, develop automation workflows, and ensure the reliability of ML systems. A strong proficiency in Python and a good understanding of ML lifecycle and DevOps practices are needed. Join a motivated team in a vibrant work environment with great perks including flexible hours, health insurance, and more.