Senior MLOps Engineer

Marionete; Santiago de Compostela; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Marionete, a technology consultancy, seeks a Senior MLOps Engineer to enhance their ML systems in production. The role involves designing and implementing scalable systems, ensuring efficient model deployment, and collaborating with teams to solve complex problems. Suitable candidates will have strong experience in MLOps, cloud platforms, and programming, with the ability to communicate effectively with non-technical stakeholders.

Servicios

Health insurance

Meal allowance

Gym and transportation reimbursement

Mental health support

Financial support for ongoing training

Relaxed dress code

Career advancement opportunities

Flexible work environment

Formación

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

Responsabilidades

• Design, develop, and implement scalable systems for deploying ML models.
• Implement CI / CD pipelines for seamless model updates and releases.
• Collaborate with cross-functional teams to implement solutions throughout the ML lifecycle.

Conocimientos

Communication

Machine Learning

Software Engineering

Cloud Platforms

Educación

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

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 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 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 a related field.
• Strong ability to effectively convey technical concepts to non-technical stakeholders in English.

Benefits

• Competitive salary package
• Permanent contract
• Benefits including health insurance, meal allowance, gym and transportation reimbursement, mental health support
• Financial support for ongoing training in disruptive technologies
• Relaxed dress code at the Marionete offices
• Numerous career advancement opportunities
• Flexible and hybrid work environment

Location

Preferably Portugal, Lisbon, and surrounding regions.

Application

Marionete is committed to providing equal employment opportunities and does not tolerate discrimination based on race, ethnicity, gender, sexual orientation, and other protected categories.

By applying, you agree that your data and CV will be kept secure and confidential in accordance with GDPR.