MLOPS Engineer Computer vision (mfd)

Jobs & Karriere Bei Schwarz Corporate Solutions

Job Location:

Bucharest - Romania

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Schwarz Global Services offers excellent IT solutions and business financial services for the internationally operating Schwarz Group. Besides acting as an excellent go-to technology provider which ensures access to innovative and scalable IT solutions Schwarz Global Services provides business financial services for the whole group. Kaufland Lidl Schwarz Produktion PreZero and other Schwarz companies are among the customers of Schwarz Global Services.

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.

We look forward to receiving your application.

Schwarz Global ServicesCiprian Sorin BaditaReference no. 45305
Dimitrie Pompeiu No 6E Pipera Business Tower Bucharest 077190

Required Experience:

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.

We look forward to receiving your application.

Schwarz Global ServicesCiprian Sorin BaditaReference no. 45305
Dimitrie Pompeiu No 6E Pipera Business Tower Bucharest 077190

Required Experience: