Senior MLOps Engineer

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. You should 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 architecting 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 related field.
• Excellent communication skills in English, with the ability to convey 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 and flexible, hybrid work environment.
• Opportunities for career advancement.

Location

Preferably in Portugal, Lisbon, or surrounding regions.

Application

Marionete is committed to equal employment opportunities and non-discrimination. By applying, you agree that your data and CV will be kept secure and confidential, in compliance with GDPR.