Senior MLOps Engineer

Marionete; Madrid; Híbrido; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

Marionete, a prominent technology consultancy, is on the lookout for a Senior MLOps Engineer with the expertise to manage machine learning systems in production. The role involves designing efficient ML deployment systems, establishing robust monitoring, and working cross-functionally to overcome challenges in the ML lifecycle. Competitive salary, permanent contract, and multiple benefits including healthcare and training support are part of the offer.

Servicios

Health insurance

Meal allowance

Gym reimbursement

Transportation reimbursement

Mental health support

Financial support for training

Flexible work environment

Relaxed dress code

Career advancement opportunities

Formación

• 5+ years of experience in MLOps or similar roles.
• Hands-on experience with machine learning projects.
• Strong programming skills in Python, Java, or Scala.
• Excellent communication skills in English for both technical and non-technical audiences.

Responsabilidades

• Design, develop, and implement systems for deploying ML models.
• Build tools and pipelines to improve efficiency in model deployment.
• Establish monitoring systems to track model performance and system health.
• Collaborate with teams to address challenges in the ML lifecycle.

Conocimientos

Machine Learning

Software Engineering

Operations

Communication

Containerization

Cloud Platforms

CI/CD Implementation

Educación

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Mathematics

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

Grafana

Prometheus

Elastic

Descripción del empleo

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

The 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.
• 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).

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Industries IT Services and IT Consulting and Data Infrastructure and Analytics

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