Senior MLOps Engineer

Marionete; Cádiz; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

Marionete is seeking a Senior MLOps Engineer to enhance machine learning systems in production. The role involves designing and implementing scalable solutions, establishing monitoring frameworks, and facilitating cross-functional collaboration. Ideal candidates will possess strong programming skills and extensive experience in MLOps, with benefits including a competitive salary and a hybrid work environment.

Servicios

Health insurance

Meal allowance

Gym reimbursement

Transportation reimbursement

Mental health support

Financial support for ongoing training

Relaxed dress code

Flexible work environment

Formación

• Minimum 5 years of experience as an MLOps Engineer or similar roles.
• Hands-on knowledge in data science and machine learning projects.
• Strong programming skills in Python, Java, or Scala.

Responsabilidades

• Design, develop, and implement scalable systems for deploying ML models.
• Implement CI/CD pipelines and establish monitoring systems.
• Collaborate with cross-functional teams throughout the ML lifecycle.

Conocimientos

Communication

Problem Solving

Software Engineering

Machine Learning

Operations

Educación

Bachelor's degree in Computer Science, Engineering, Mathematics

Herramientas

Docker

Kubernetes

Jenkins

Ansible

Grafana

Prometheus

Elastic

Descripción del empleo

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

For more information visit us : Role Marionete is seeking a Senior MLOps Engineer with strong expertise and passion for building and maintaining machine learning systems in production environments. You have a blend of skills in software engineering, machine learning, and operations, ensuring the smooth functioning of ML systems in production.

The role requires a communicator who can simplify complex problems for non-technical audiences, with strong communication skills in written and spoken English, passionate about staying updated on the latest developments in AI / ML and MLOps.

Job Profile Design, develop, and implement scalable and reliable systems for deploying machine learning models into production. Architect and build tools and pipelines to improve the efficiency of our clients Model Development Life Cycle (MDLC), automating ML processes and enhancing system performance. Implement CI / CD pipelines for seamless model updates and releases. Establish robust monitoring and alerting systems to track model performance, system health, and data drift. 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 and similar roles. Hands-on knowledge in delivering and leading data science and machine learning projects. Experience with cloud platforms (AWS, Azure, GCP) and cloud architecting for machine learning technologies. Strong programming skills in languages such as Python, Java, or Scala. Expertise with containerization technologies (Docker, Kubernetes) and DevOps tools (Jenkins, Ansible, Grafana, Prometheus, Elastic). Familiarity with CI / CD deployment practices and automated testing. A bachelor's degree in computer science, Engineering, Mathematics, or any similar education. Strong ability to effectively convey technical concepts to non-technical stakeholders, in English. Benefits Competitive salary package Permanent contract Benefits package, 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 Marionete offices An abundance of career paths and opportunities in which to advance A flexible and hybrid work environment

Location : Preferably Portugal, Lisbon and surrounding regions.

Application Marionete believes in providing equal employment opportunities to everyone. We do not practice and will not tolerate discrimination on the basis of race, skin color, ethnicity, national origin, gender, sexual orientation, marital status, maternity, religion, age, disability, gender identity, results of genetic testing, or service in the military.

By applying to Marionete vacancies, you agree that your data and CV remain secure and confidential with your application. Marionete is a company in compliance with General Data Protection Regulation (GDPR).