MLOps Engineer (f/m/div.)

Bosch; Braga; Híbrido; EUR 65 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hours

Medical services

Employee discounts

Canteen

Good transport access

Resumo da oferta

Bosch Service Solutions in Portugal seeks an experienced MLOps professional to shape strategy and architecture for a cloud-based ML platform. You will design a self-service MLOps loop, implement IaC with Terraform, and ensure security, reproducibility, and robust monitoring.

Collaboration with ML engineers, data scientists, and infrastructure teams is essential to deliver a scalable, high-quality MLOps solution.

Qualificações

• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
• Strong scripting in Python and Bash; experience with ML lifecycle and DevOps practices.

Responsabilidades

• Collaborate on MLOps strategy for cloud environment aligning with objectives, security and best practices.
• Collaborate on design of an MLOps platform with self-service loop addressing data ingestion, feature engineering, 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 and ensure reproducibility across the model toolchain.
• Create monitoring dashboards and alerts for proactive issue resolution.
• Collaborate across ML engineers, data scientists and infra teams; lead code reviews and best practices.

Conhecimentos

Python

Bash

ML lifecycle

CI/CD

DevOps

Kubernetes

Terraform

GitHub Actions

Azure

Linux

Communication

Agile/SAFe

Fluent English

Formação académica

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

Ferramentas

Terraform

GitHub Actions

Kubernetes

Azure

Ansible

GNU/Linux

Descrição da oferta de emprego

Company Description

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.

Job Description

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

Qualifications

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.

Additional Information

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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