AI Data/MLOps Engineer (f/m/div.)
AI Data/MLOps Engineer (f/m/div.)
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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 dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
