Job
- Level
- Experienced
- Job Field
- IT, Software, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Oberkochen, Taufkirchen, Ulm, Fürstenfeldbruck
- Working Model
- Onsite
Job Summary
In this role, you will operate a scalable AI platform on Kubernetes and OpenShift, develop MLOps processes, and translate AI development requirements into reliable platform services.
Job Technologies
Your role in the team
- We build and operate an enterprise AI platform where Large Language Models (LLMs) and other Machine Learning and AI services are deployed productively within the company. The underlying infrastructure is based on Kubernetes and OpenShift as well as GPU-based systems and provides development, training, and inference environments for internal teams.
- As an "AI Platform Engineer MLOps and LLMOps (m/f/d)" you will shape the stable and scalable operation of this platform and continuously develop it further. In this role, you will work at the intersection of Platform Engineering, DevOps, MLOps, and LLMOps, translating requirements from AI development and Data Science into reliable platform services.
- Operation and further development of the AI and Machine Learning platform on Kubernetes and OpenShift
- Administration, provisioning, and troubleshooting of development environments, models, pipelines, as well as training and inference workloads
- Operation and optimization of GPU-based workloads as well as model serving and inference services for Large Language Models
- Further development and automation of MLOps and LLMOps processes, including model lifecycle, deployments, evaluation, and monitoring
- Automation of infrastructure and deployment processes with Infrastructure-as-Code, Continuous Integration, and Continuous Delivery (CI/CD), as well as the development of monitoring and observability.
- Support for AI development and Data Science teams in utilizing and further developing the platform, as well as analyzing and resolving technical issues.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, Data Science, or a comparable qualification
Qualifications
- Structured and independent working style as well as good German and English skills and willingness to undergo a security check
Experience
- Several years of practical experience in Platform Engineering, DevOps, or managing Kubernetes or OpenShift environments
- Good knowledge of container technologies, automation, and Infrastructure-as-Code, as well as experience with CI/CD and operational processes.
- Basic understanding of GPU-based workloads and experience with AI, Machine Learning, or MLOps platforms is advantageous.
- Experience with MLOps or LLMOps, particularly in model deployment, Model Serving, pipelines, evaluation, or monitoring, is advantageous.
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What we offer
- Flexible working hours & work-life balance
- Compensation & Benefits
- Personal & Professional Development
- Health & Wellness
- Mobility & Sustainability
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
- ⏸Educational Leave/Sabbatical
- 🍼Day Care for Kids
Health, Fitness & Fun
Higher Take-Home Pay
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
HENSOLDT
HENSOLDT is a world-leading provider of premium sensors for security and surveillance missions. The company is the global market leader in missile warning systems and submarine periscopes, among others. In addition, HENSOLDT has a strong presence in the markets for radar, optronics and electronic protection systems.
Description
- Founding Year
- 2017
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Aviation, Space Travel
AI Platform Engineer MLOps and LLMOps
- Location
- Oberkochen, Taufkirchen, Ulm, Fürstenfeldbruck
- Working Model
- Onsite
- Diversity
- Open for all genders
