AIOps Engineer - AI Model Serving (m/f/d)
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AIOps Engineer - AI Model Serving (m/f/d)
The impact You will create:
Enable Large-Scale Model Serving: You will build and operate the robust infrastructure required to deploy, serve, and monitor machine learning models in production. Your focus is on the "Ops" in AIOps, ensuring our AI use cases are powered by a highly available and performant serving layer.
Build & Scale AI Infrastructure: You will design, develop, and deploy the custom infrastructure needed for our model serving platform, taking it from concept to a hardened production system.
Innovate with Edge Computing: You will play a key role in developing our Kubernetes-based Edge Computing product, enabling us to serve models closer to our users and data sources.
Automate Everything: You'll continuously automate and optimize our deployment pipelines and infrastructure using modern IaC and CI/CD principles in a dynamic, cutting-edge environment.
Ensure Platform Stability: You will proactively troubleshoot complex issues, conduct root cause analysis, and implement sustainable solutions to guarantee a secure and reliable platform.
Technical Customer Onboarding: You will have to lead deep technical discussions with customer engineering teams to understand their needs, architect a tailored integration strategy and act as the technical bridge between their team and our own.
Experience and Skills You will need:
Core Programming Skills: Solid programming experience, with a strong preference for Go or Python.
Kubernetes Mastery: Deep, hands-on experience with Kubernetes (K8s), including building and managing complex deployments.
Infrastructure as Code (IaC): Proficiency with IaC tools like Terraform/OpenTofu and Kubernetes templating engines such as Helm or Kustomize.
CI/CD & GitOps: A strong understanding of CI/CD pipelines and tooling, especially Git and ArgoCD.
Agile Mindset: You are comfortable and effective working in an agile team environment.
Big Plus: Experience with AI model serving tools (e.g., kServe and mlflow).
Our offer:
An attractive remuneration package depending on your seniority
Variety of opportunities with one of the strongest and largest retail companies in the world
A huge array of tools & technologies available on the spot and ready for a steady personal development
Food vouchers, MultiSport card, additional health insurance, travel expenses and a modern office close to Paradise Mall
A good work-life balance with flexible working time & options for mobile work
A pleasant and diverse environment with regular events, team buildings and stimulating activities
If you are interested please send us your up to date resume in English.
We want to know you!
Your application will be reviewed in strict confidentiality. Only the approved candidates will be invited to an interview. Providing your personal data you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of possible signing of a labour contract and will be stored and operated by “Schwarz IT” EOOD and “Lidl Bulgaria EOOD and Co” KD in their capacity of personal data controller and personal data processor in accordance with the Bulgarian Data Protection Legislation and the General Data Protection Regulation 2016/679 (GDPR). Please have in mind that with this you give permission for your resume to be shared with other parties of the Schwarz Group.
Some are still thinking. You act.
The impact You will create:
Enable Large-Scale Model Serving: You will build and operate the robust infrastructure required to deploy, serve, and monitor machine learning models in production. Your focus is on the "Ops" in AIOps, ensuring our AI use cases are powered by a highly available and performant serving layer.
Build & Scale AI Infrastructure: You will design, develop, and deploy the custom infrastructure needed for our model serving platform, taking it from concept to a hardened production system.
Innovate with Edge Computing: You will play a key role in developing our Kubernetes-based Edge Computing product, enabling us to serve models closer to our users and data sources.
Automate Everything: You'll continuously automate and optimize our deployment pipelines and infrastructure using modern IaC and CI/CD principles in a dynamic, cutting-edge environment.
Ensure Platform Stability: You will proactively troubleshoot complex issues, conduct root cause analysis, and implement sustainable solutions to guarantee a secure and reliable platform.
Technical Customer Onboarding: You will have to lead deep technical discussions with customer engineering teams to understand their needs, architect a tailored integration strategy and act as the technical bridge between their team and our own.
Experience and Skills You will need:
Core Programming Skills: Solid programming experience, with a strong preference for Go or Python.
Kubernetes Mastery: Deep, hands-on experience with Kubernetes (K8s), including building and managing complex deployments.
Infrastructure as Code (IaC): Proficiency with IaC tools like Terraform/OpenTofu and Kubernetes templating engines such as Helm or Kustomize.
CI/CD & GitOps: A strong understanding of CI/CD pipelines and tooling, especially Git and ArgoCD.
Agile Mindset: You are comfortable and effective working in an agile team environment.
Big Plus: Experience with AI model serving tools (e.g., kServe and mlflow).
Our offer:
An attractive remuneration package depending on your seniority
Variety of opportunities with one of the strongest and largest retail companies in the world
A huge array of tools & technologies available on the spot and ready for a steady personal development
Food vouchers, MultiSport card, additional health insurance, travel expenses and a modern office close to Paradise Mall
A good work-life balance with flexible working time & options for mobile work
A pleasant and diverse environment with regular events, team buildings and stimulating activities
If you are interested please send us your up to date resume in English.
We want to know you!
Your application will be reviewed in strict confidentiality. Only the approved candidates will be invited to an interview. Providing your personal data you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of possible signing of a labour contract and will be stored and operated by “Schwarz IT” EOOD and “Lidl Bulgaria EOOD and Co” KD in their capacity of personal data controller and personal data processor in accordance with the Bulgarian Data Protection Legislation and the General Data Protection Regulation 2016/679 (GDPR). Please have in mind that with this you give permission for your resume to be shared with other parties of the Schwarz Group.
Some are still thinking. You act.