Job description
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 Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.
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
Bosch eBike Systems is expanding its digital offerings for eBike-manufacturers and end users, including software, cloud APIs, and analytics/connected-services that complement the physical eBike hardware. The project’s goal is to enable smarter, data-driven eBike services, involving signal processing, embedded AI or data analytics for usage patterns, predictive maintenance, safety features, or personalized rider experiences.
As an MLOps Engineer, you will build and maintain the infrastructure and workflows required to take machine learning models from development to production: experiment tracking, training pipelines, evaluation, model deployment, and monitoring — for services that integrate with eBike hardware, cloud services, and user applications. You will work closely with a multi-disciplinary team to ensure that ML-based features are scalable, maintainable, and compliant with Bosch’s quality and performance standards. Your work will help drive the next generation of intelligent eBike services and contribute to Bosch’s goal of sustainable, connected mobility
Your contribution to something big:
- Implement and/or integrate tools to deliver a state-of-the-art MLOps solution on Azure according to best practices;
- Help design, setup and maintain an on-premises data collection environment for electric bicycles and collect data for model testing;
- Design, implement, integrate, and maintain ETL pipelines to bring video and IMU data from on-premises and AWS environments to Azure Blob and ML tables;
- Develop and implement monitoring dashboards and alerts to proactively identify and resolve platform issues;
- Implement robust security measures to protect sensitive data and ML models in Azure
- Work closely with machine learning engineers, data scientists, software engineers, and infrastructure teams to deliver a high-quality solution;
- Communicate effectively with stakeholders at all levels, including technical and nontechnical audiences;
- Stay up to date with the latest MLOps trends and technologies and share knowledge and expertise with colleagues working on other projects and domains;
- Participate in code reviews and contribute to the development of best practices.
Qualifications
What distinguishes you:
- MSc or Ph.D. in Computer Science, Data Science, Machine Learning or a related field;
- 2+ years of experience in MLOps, Data Engineering, Cloud Engineering or similar roles, with a strong focus on AI/ML use-case;
- Knowledge of either industrialization, laboratory environment, or ADAS domain is a major plus;
- Good scripting and automation skills with Python and Bash. Proficiency with Pandas, Pydantic, Pytest and NumPy is a plus.;
- Capable of implementing, integrating, and maintaining Data and MLOps components. Architectural skills are a plus;
- Good understanding of Cloud solutions and associated concepts. Experience with Azure, Azure Machine Learning and Azure Databricks is a plus;
- Good understanding of DevOps principles and practices. Proficiency with GitOps, containerization and orchestration tools like Docker, Kubernetes, and Apache Airflow is a plus;
- Good understanding of CI/CD pipelines and IaC tools. Proficiency with Jenkins, GitHub Actions and Terraform is a plus;
- Basic experience with on-premises infrastructure management, Linux servers, networking, and storage;
- Excellent problem-solving skills;
- Effective communication skills, team player, and capable of collaborating across functional areas;
- Proactive, customer and result-oriented personality.
Additional Information
Work #LikeABosch means:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site
📚 Training opportunities
📈 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 parking lot
🍽️ Canteen
Success stories don´t just happen. They are made…
Make it happen! We are looking forward to your application!
