Machine Learning Operations Engineer (f/m/div.)

Robert Bosch Group; Braga; Presencial; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

flexible hours

medical services

employee discounts

sports and health activities

canteen

good access to public transports

space for creativity

Resumo da oferta

Robert Bosch Group is seeking a Machine Learning Operations Engineer to advance our MLOps strategy in a cloud-enabled environment. You will contribute to platform design, automation, security, and monitoring to support data science and ML workflows.

Ideal candidates have 3+ years in MLOps/DevOps with Python, Terraform, Kubernetes, and cloud experience (Azure). The role emphasizes collaboration across ML, software, and infrastructure teams in an Agile/SAFe setting.

Qualificações

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

Responsabilidades

• 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 with self-service capabilities for data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Develop and maintain documentation for MLOps processes and infrastructure.
• Design and implement IaC solutions for provisioning cloud resources using Terraform.
• Implement robust security measures to protect sensitive data and models.
• Implement monitoring dashboards and alerts for the MLOps platform.
• Work with ML engineers, data scientists, software engineers and infra teams to deliver a high-quality solution.

Conhecimentos

MLOps

Python

DevOps

Terraform

GitHub Actions

Kubernetes

Azure

Bash

Linux

English fluency

Formação académica

MSc or PhD in Software Engineering/CS/Data Science/ML

Ferramentas

Terraform

GitHub Actions

Kubernetes

Ansible

Descrição da oferta de emprego

Machine Learning Operations Engineer (f/m/div.)

• Full-time
• Legal Entity: Bosch Service Solutions S.A.

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 Solutionsdevelops 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.
• 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.
• 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 automation skills with Python and Bash.
• Experience with Azure services, and Microsoft Entra ID.
• Good understanding of Terraform, GitHub Actions, and Kubernetes.
• Basic understanding of Ansible.
• 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.
• Experience working in Agile/SAFe environments.
• Fluent in English, written and spoken.

What we offer you:

• Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

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