Bosch

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

Bosch  •  Braga, PT (Hybrid)  •  2 hours ago
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Job 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.

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.

Success stories don´t just happen. They are made...

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

Bosch

About Bosch

The Bosch Group is a leading global supplier of technology and services. It employs roughly 417,900 associates worldwide (as of December 31, 2024). According to preliminary figures, the company generated sales of 90.5 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 86,900 associates in research and development, of which nearly 48,000 are software engineers.

Instagram: https://www.instagram.com/boschglobal/

Facebook: https://www.facebook.com/BoschGlobal

Glassdoor: https://bit.ly/3raTZnH

Imprint: www.bosch.com/corporate-information

Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Gerlingen-Schillerhöhe, DE
Year Founded
Unknown
Website
bosch.com
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