Mlops engineer

Your tasks

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.

Your profile

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 a 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.

Contact & 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

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