Senior Mlops Engineer

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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

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).

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