MLOps Engineer (f/m/div.)

Welcome to Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services.

Define the standards and become a pioneer together with around 9000 associates worldwide.

MLOps Strategy & Architecture

• Collaborate on the MLOps strategy for our cloud environment, ensuring alignment with business objectives, security requirements, and best practices.
• Collaborate on the technical design of a MLOps platform that provides a self-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring.
• Develop and maintain comprehensive documentation for MLOps processes and infrastructure.

Hybrid ML-loop Implementation

• Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
• Implement robust security measures to protect sensitive data, ML models, and other artefacts.
• Implement new functionalities while ensuring key non-functional properties of the model development toolchain, particularly reproducibility.
• Implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues.

Collaboration & Leadership

• Work closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution.
• Communicate effectively with stakeholders at all levels, including technical and non-technical audiences.
• Stay up to date with the latest MLOps trends and technologies and adopt new approaches.
• Participate in code reviews and contribute to the development of best practices.

Education

• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.

Experience

• 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.

Technical Skills

• Good understanding of the ML development process and model life cycle.
• Good understanding of DevOps principles and practices.
• Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
• Good scripting and