Job
- Level
- Lead
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you lead a specialized team, develop an ML/AI Ops platform, and integrate AI models into existing systems using GCP and Kubernetes.
Job Technologies
Your role in the team
- As Head of ML / AI Platform, you will take on the professional and organizational leadership of the team (currently two colleagues) while also being heavily involved in the technical work yourself.
- You contribute to the strategic alignment and ensure that the team is closely integrated with colleagues from DevOps, Data Platform, Data Science, Product Development, and Engineering in editorial and publishing.
- Our tech stack is based on Google Cloud Platform and Kubernetes.
- You will select ML(Ops) tools (such as MLflow, Vertex AI, vector databases for RAG applications).
- You are leading a new, highly specialized team (including yourself and three colleagues) both technically and organizationally, and you enjoy developing the team and its skills further.
- You create the framework conditions for successful collaboration and promote personal responsibility.
- You and your team develop and operate an ML/AI Ops platform and define standards for the development, deployment, and operation of AI models.
- Your focus is on a secure and scalable architecture, whose stability you ensure through monitoring and observability.
- You create or evaluate tools and services that enable data scientists and product developers to seamlessly integrate our ML and generative AI use cases.
- You are the technical enabler who makes complex ML and LLM models, built by the Data Science and Product teams, production-ready.
- This includes the integration of ML models into production applications and existing IT landscapes.
- You provide ML/AI-specific databases and develop integrations with existing data sources in close coordination with adjacent departments.
- You collaborate closely with Data Science, DevOps, Software Engineering, Product, and the business units.
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Our expectations of you
Education
- Degree in (Business) Informatics, Engineering, Mathematics, Data Science or a comparable field of study - or a relevant technical qualification.
Qualifications
- You think in terms of self-service solutions and abstract technical complexity so that Data Scientists can fully focus on developing and optimizing their models.
- You have internalized the Infrastructure-as-Code principle (Terraform, alternatively OpenTofu or Pulumi) as well as the GitOps principle (e.g., with Flux or Argo CD) and consistently apply both in practice.
- You possess in-depth knowledge of container development and deployment (including Helm chart development) as well as efficient management of CPU and GPU workloads, scaling, and resource management.
Experience
- You bring extensive practical experience in agile work environments (e.g., Scrum, Kanban) and are familiar with collaborating with Product Owners, stakeholders, and interdisciplinary teams.
- Practical experience in software development with Python in roles such as ML Engineer, DevOps Engineer, Data Scientist, or Software Engineer with an ML component (i.e., specifically using libraries like Huggingface, scikit-learn, or PyTorch/TensorFlow).
- You have extensive practical experience with cloud infrastructures (preferably GCP) as well as in-depth knowledge of core topics such as Cloud IAM, Workload Identity, Cloud Networking, Cloud Storage, and Vertex AI.
- You have experience in building ETL and data pipelines as well as workflow orchestration (e.g., Airflow, Argo Workflows, or Kubeflow).
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What we offer
- The position is remunerated outside of collective agreements and includes 40 hours per week.
- Our work environment is characterized by flexibility and individuality.
- We offer flexible working hours such as flextime and remote work, as well as various part-time models to optimally balance work and private life.
- Additionally, our workplaces are centrally located with excellent public transportation connections – of course, there is also a subsidy for the Deutschlandticket.
- Continuous education is important to us.
- Therefore, we offer all employees a variety of opportunities for individual development through our Holtzbrinck E-Learning Campus products.
- Once a year, we use the internal ZEIT University Day as well as regular University Snacks to exchange ideas on various topics and learn from each other.
- We love our products, so you have access to the full range of our publications, events, and media offerings free of charge.
- In addition, we offer various newspaper and magazine subscriptions as well as our ZEIT Shop products at employee rates.
- Through the platforms Corporate Benefits and benefit.me, you can also enjoy many discounts for museums, theaters, festivals, various products, or conferences.
- The Employee Assistance Program offers you quick and effective support for both professional and private issues - even in special crisis situations.
- Additionally, you can benefit from attractive discounts at Urban Sports to stay active and promote your health.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Zeit Verlagsgruppe
ZEIT ONLINE ist eines der größten Online-Nachrichtenmedien Deutschlands, unter anderem ausgezeichnet mit zwei Lead Awards, einem Grimme Online Award, dem amerikanischen Online Journalism Award und vier Medaillen beim internationalen Malofiej Award für Infografik.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Head of ML / AI Platform
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
