AI Data/MLOps Engineer (f/m/div.)

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

Your contribution to something big:

• Data Models & Data Pipelines:

  • Design, implement and/or integrate existing on-prem data pipelines, and make it available for the development of ML features

  •  Collaborate in designing and running data acquisition activities, including ingestion from recording campaigns and synthetic data providers

  • Drive data consistency and synchronization efforts across different persistence systems in the data and ML loop

• MLOps Strategy & Architecture:

  • Collaborate on the MLOps strategy for our hybrid 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

• Hybrid ML-loop Implementation:

  • Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud and on-premises resources using Terraform

  • Implement robust security measures to protect sensitive Data and ML models in both cloud and on-premises environments

  • Implement and/or integrate tools to deliver the full MLOps loop

• Collaboration & Leadership:

  • Work closely with data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution

  • Provide technical leadership and mentorship to junior engineers

  • Communicate effectively with stakeholders at all levels, including technical and non-technical audiences

Qualifications

Education:

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

Experience:

• 3+ years of experience in MLOps, Data Engineering or similar roles, with a strong focus on AI/ML use-cases

Technical Skills:

• Proven experience designing, implementing, integrating, and maintaining Data infrastructure and MLOps solutions
• Strong knowledge of Cloud solutions, preferably Azure
• Experience with on-premises infrastructure management, including server management, networking, and storage
• Experience with containerization and orchestration tools like Docker, Kubernetes, and Apache Airflow
• Strong scripting and automation skills, such as Python and Bash
• Strong understanding of DevOps principles and practices
• Experience with CI/CD pipelines, preferably GitHub Actions
• Proficiency in IaC tools, preferably Terraform

 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

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

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

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