MLOPS Engineer Computer vision (mfd)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland as well as Schwarz Production and PreZero. At the same time we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud Cyber Security Data & AI Communication and Workspace.
Join us and contribute to digital sovereignty in Europe. With us you will work at the intersection of agility and security: You will benefit from fast decision-making processes enjoy genuine creative freedom in your projects and be able to build upon the stable foundation of the Schwarz Group.
Take advantage of the opportunities to progress your career at the Bucharest location.
MLOPS Engineer Computer vision (m/f/d)
The Impact You Will Create
- Build & Maintain ML Infrastructure: Design implement and maintain our cloud-based infrastructure for large-scale computer vision model training and data management.
- Automate ML Pipelines: Engineer and deploy automated production-grade ML pipelines for seamless data processing model training validation and deployment.
- Enable AI/ML Teams: Collaborate directly with Data Scientists and AI Engineers to streamline and accelerate the entire model development lifecycle.
- Ensure Scalability & Reliability: Architect and operate robust secure and efficient infrastructure for our large-scale AI solutions.
Experience And Skills You Will Need
- Production MLOps Experience: Strong relevant work experience operating and scaling machine learning systems and AI workflows in a production environment.
- Kubernetes Mastery: Deep hands-on proficiency with Kubernetes for scheduling and scaling ML training jobs and complex workloads.
- ML Pipeline Expertise: Proven ability to build manage and troubleshoot ML pipelines and serving infrastructure. Direct experience with Argo Workflows and ArgoCD is an advantage.
- MLOps Tooling: Proficiency with modern MLOps tools especially MLFlow for experiment tracking and model management.
- Infrastructure as Code (IaC): Solid practical experience managing cloud infrastructure using Terraform.
- Pragmatic Problem-Solver: Demonstrated ability to quickly and independently solve complex technical challenges with reliable scalable solutions.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
About Company
Jobs & Karriere bei Schwarz Corporate Solutions - Where Excellence Works: Duales Studium, Ausbildung, Absolventen, Trainee, Berufserfahrene
