MLOps Engineer (f/m/div.)

Robert Bosch Group

Sequeira

Presencial

EUR 60 000 - 95 000

Tempo integral

Há 11 dias

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Vantagens oferecidas por esta oferta de emprego

Health insurance
On-site medical office
Training opportunities

Resumo da oferta

Robert Bosch Group seeks a skilled MLOps professional to shape and execute our MLOps strategy within a hybrid cloud setup. You will help design an end-to-end ML lifecycle, including data ingestion, feature engineering, model training, and deployment, ensuring governance and reliability.

Join a cross-functional team of ML engineers, data scientists, software engineers, and infrastructure specialists. Fluency in English and strong communication are required, with opportunities for career growth

Qualificações

  • MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning or a related field.
  • 2+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
  • Fluent in English, written and spoken.

Responsabilidades

  • Contribute to the definition and evolution of the MLOps strategy for a hybrid cloud environment, aligning with business objectives and security standards.
  • Design and implement Infrastructure as Code (IaC) using Terraform to provision cloud and on-premises resources.
  • Develop and maintain monitoring dashboards and documentation for MLOps processes and infrastructure.
  • Collaborate with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a scalable MLOps platform.

Conhecimentos

MLOps
Data Engineering
DevOps
Python
Bash
Azure Cloud
Terraform
GitHub Actions
Kubernetes
Linux

Formação académica

MSc/PhD in Software Engineering, Computer Science, Data Science, Machine Learning or related field

Ferramentas

Terraform
GitHub Actions
Kubernetes

Descrição da oferta de emprego

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

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 in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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.
  • 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 ofDevOpsprinciples and practices;
  • Experience designing, implementing, integrating, and maintainingMLOps solutions or CI/CD pipelines;
  • Good scripting and automation skills withPythonand Bash;
  • Knowledge ofCloud solutions, preferablyAzure;
  • Basic understanding ofTerraform,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

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

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