AI-Plattformengineer — Migros Bank

Full description

With us, you actively shape the future in the field of artificial intelligence! You are significantly involved in the operation and further development of our AI Platform (OnPrem & Cloud) and drive it forward together in the committed (internal / external) team. We are looking for a personality who never loses sight of the essentials when immersed in concepts and code.

Luogo di lavoro: Migros Bank, Wallisellen, Industriestrasse 17-19, 8304 Wallisellen

Important information

We welcome every application, but can only consider online applications. Applications by post are disposed of for data protection reasons and not returned.

Mansioni

• You are responsible for the operation and further development of the hybrid AI platform (OpenShift & Azure) and ensure stability, scalability, high availability and efficient GPU use.
• You ensure the smooth operation of the AI operation stack (e.g. MLflow, Dagster, vLLM, Triton).
• You are responsible for the deployment and serving of LLM and ML models both on the on-prem platform (OpenShift) and via Azure services (e.g. Azure AI Foundry).
• Operation and optimization of CI/CD pipelines and infrastructure as code. You define deployment and configuration standards and ensure security, compliance and vulnerability standards.
• You provide a robust data foundation (RDBMS, Object Storage, NoSQL, Backup & Recovery) and accompany migrations from and between On-Prem and Azure.
• You develop the AI platform into existing observability stacks and ensure stable platform operation (OpenTelemetry, Splunk, Dynatrace, Azure Monitor).

Requirements

• At least 5 years: AI Engineering / Dev Ops
• Master's degree (university, university of applied sciences): Computer Science / Computer Science
• Several years of experience in setting up and operating AI platforms in hybrid environments with a focus on scalability, automation and high availability.
• Very good knowledge of containerization, orchestration, automation and deployment patterns (e.g. Kubernetes/OpenShift, AKS, Helm, CI/CD).
• Experience with GPU compute and AI inferencing (e.g. Nvidia GPU Operator, vLLM, Triton) and Azure services (e.g. Azure ML, Azure OpenAI).
• Knowledge of MLOps and Agentic AI in particular experiment-tracking (e.g. MLflow), orchestration of ML pipelines (e.g. Dagster, Azure ML) and conception and operation of AI-agents.
• Good knowledge of databases, object storage, data lifecycle, backup & recovery, monitoring as well as security, vulnerability and identity management (e.g. Azure AD).
• in German (negotiation certain)
• English (very good knowledge)

Cosa of Friamo

• Central place of work (GABS): Optimally accessible by train (10 minutes from Zurich HB) or car
• Modern infrastructure: future-oriented and ergonomic workplace
• Flexible place of work / Home Office: Individual possibilities for home office
• Flexible working hours: annual working hours for all and trusted working hours for many
• Maternity leave / paternity leave: 18 weeks for mothers and 4 weeks for fathers
• Child care: up to CHF 300 per month per child to external child care
• Occupational provision: Very attractive pension fund with above-average employer contribution
• Social benefits: Optimal coverage for sickness and accident "Private"
• Employee offers: Annual generous well-being credit

Contatto

Application and contact Dario D’Agostino HR Business Partner

Recruitment process

• Personal video or telephone conversation: For a large number of applicants, we optionally conduct a personal telephone or video conversation. This gives us the opportunity to get to know more candidates within a short time in order to invite suitable people for the next round. Duration to feedback: Up to one week
• Personality/performance test: Under certain conditions, we use a personality test (BIP, Scales test, etc.) as an additional step to support selection. The results of the test may be discussed personally and form the basis for further selection. Duration to feedback: Up to one week
• Discussion with case presentation: Specific expertise is examined on the basis of a case or other assessment instruments. After processing, the result of the leader is presented and then discussed together. Usually, the team is also represented at the presentation. As a rule, the conversations are conducted by the superior, without a representative from the HR. Duration to feedback: Up to three weeks
• Reference information: When obtaining references, we ask for impressions, strengths and weaknesses again and have them verified by former supervisors or employees. References can be obtained after the first or second round and are only made with consent. Duration to feedback: Up to one week
• Offer & Contract Exhibition (Digital): After our oral job offer, the most important contract points are verified again. After agreement, the contract is commissioned and sent for digital signature by e-mail. Duration to feedback: Up to one week

Note for personnel service providers For this position, we only consider direct applications.

Grado di occupazione: 80-100 %

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