About the job
Your contribution to something big:
As an MLOps Engineer at Bosch, you will play a pivotal role in designing and implementing both cloud and on-premises infrastructure solutions. You will oversee the entire model lifecycle, ensuring automated evaluation and governance for machine learning models. Your responsibilities will also include developing extensions and tools aimed at enhancing model monitoring, experiment management, and workflow automation. Collaborating with project teams to integrate their use cases into the Data Loop will be essential to your success.
- Design, implement, integrate, and maintain ETL pipelines for a variety of data types, facilitating customer onboarding by linking their data sources to our platform.
- Deploy Infrastructure as Code (IaC) solutions for managing both cloud (Azure) and on-premises resources using Terraform.
- Establish strong security protocols to safeguard sensitive data and ML models across all environments.
- Integrate and utilize tools to provide a cutting-edge MLOps solution adhering to industry best practices.
- Create and manage monitoring dashboards and alerts to proactively detect and address platform issues.
- Collaborate closely with data scientists, software engineers, and infrastructure teams to deliver top-notch solutions.
- Communicate effectively with diverse stakeholders, including both technical and non-technical audiences.
- Stay abreast of the latest MLOps trends and technologies, sharing insights and knowledge with peers across projects and domains.
- Participate in code reviews and contribute to the establishment of best practices.
Learn more about the project here
