Senior MLOps Engineer

Marionete; Santander; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Marionete seeks a Senior MLOps Engineer to enhance machine learning systems in production environments. The ideal candidate will excel in system design, CI/CD pipeline implementation, and possess strong programming skills. The role offers competitive salary, health benefits, and opportunities for career growth in a hybrid work environment.

Servicios

Health insurance

Meal allowance

Gym reimbursement

Transportation reimbursement

Mental health support

Financial support for training

Relaxed dress code

Career growth opportunities

Formación

• Minimum 5 years as MLOps Engineer or similar.
• Hands-on in machine learning projects.
• Strong programming in Python, Java, or Scala.

Responsabilidades

• Design and implement ML systems in production.
• Build tools and pipelines for Model Development Life Cycle.
• Establish monitoring systems for model performance.

Conocimientos

MLOps

Cloud platforms

Python

Java

Scala

Containerization

DevOps tools

CI/CD practices

Automated testing

Communication

Educación

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Mathematics

Herramientas

Docker

Kubernetes

Jenkins

Ansible

Grafana

Prometheus

Elastic

Descripción del empleo

Marionete is an independently minded, entrepreneurial technology consultancy helping clients exploit tomorrow’s technology to find unexpected solutions to today’s business problems.

Role

Marionete is seeking a Senior MLOps Engineer with strong expertise and passion for building and maintaining machine learning systems in production environments. The ideal candidate will have a blend of skills in software engineering, machine learning, and operations, ensuring the smooth functioning of ML systems in production.

Key Responsibilities

1. Design, develop, and implement scalable and reliable systems for deploying machine learning models into production.
2. Architect and build tools and pipelines to improve the efficiency of the Model Development Life Cycle (MDLC), automating ML processes and enhancing system performance.
3. Implement CI/CD pipelines for seamless model updates and releases.
4. Establish robust monitoring and alerting systems to track model performance, system health, and data drift.
5. Collaborate with cross-functional teams to understand requirements, implement solutions, and address challenges throughout the ML lifecycle.

Requirements

• Minimum 5 years of experience as an MLOps Engineer or similar roles.
• Hands-on experience in delivering and leading data science and machine learning projects.
• Experience with cloud platforms (AWS, Azure, GCP) and cloud architecture for ML technologies.
• Strong programming skills in Python, Java, or Scala.
• Expertise with containerization (Docker, Kubernetes) and DevOps tools (Jenkins, Ansible, Grafana, Prometheus, Elastic).
• Familiarity with CI/CD deployment practices and automated testing.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Excellent communication skills in English, capable of conveying technical concepts to non-technical stakeholders.

Benefits

• Competitive salary and permanent contract.
• Benefits including health insurance, meal allowance, gym and transportation reimbursement, and mental health support.
• Financial support for ongoing training in disruptive technologies.
• Relaxed dress code at the Lisbon office.
• Career growth opportunities and flexible, hybrid work environment.

Location

Preferably in Portugal, Lisbon, or surrounding regions.

Application

Marionete is committed to equal employment opportunity and does not tolerate discrimination of any kind. By applying, you consent to the processing of your data in accordance with GDPR.