MLOps Engineer (fmdiv.)

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.

Qualifications :

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.

Additional Information :

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 dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

No

Employment Type :

Full-time