MLOps Engineer (f/m/div.)

MLOps Strategy & Architecture

• Contribute to the definition and evolution of the MLOps strategy for a hybrid cloud environment, ensuring alignment with business objectives, security standards, and industry best practices;
• Support the design of a scalable MLOps platform with a self-service approach, covering the full ML lifecycle, including data ingestion, feature engineering, model training, validation, deployment, and monitoring;
• Develop and maintain clear and structured documentation for MLOps processes, workflows, and infrastructure.

Hybrid ML Lifecycle Implementation

• Design and implement Infrastructure as Code (IaC) solutions using Terraform to provision and manage cloud and on-premises resources;
• Ensure robust security practices to protect sensitive data and ML models across hybrid environments;
• Develop and deploy new platform functionalities while ensuring key non-functional requirements, particularly reproducibility and reliability;
• Build and maintain monitoring dashboards and alerting systems to proactively detect and resolve platform issues.

Collaboration & Contribution

• Collaborate closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a scalable and high-quality MLOps platform;
• Communicate effectively with both technical and non-technical stakeholders, ensuring alignment and transparency;
• Stay up to date with emerging MLOps trends, tools, and technologies, actively contributing to continuous improvement;
• Participate in code reviews and contribute to the definition and adoption of best practices.

Education:

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

Experience:

• 2+ 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 automation skills with Python and** Bash;**
• Knowledge of Cloud solutions, preferably Azure;
• Basic understanding of Terraform,GitHub Actions, and Kubernetes;
• Experience with GNU/Linux systems as key development environment.

Soft Skills:

• Excellent problem-solving skills;
• Effective communication skills, team player, and capable of collaborating across functional areas;
• Proactive, customer and result-oriented personality;
• Fluent in English, written and spoken;
• Experience working in Agile/SAFe environments.

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site (psychology and general clinic)

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🚌 Free transport from Porto

💰 Flexible benefits platform

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...Make it happen! We are looking forward to your application!