Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Grasbrunn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI and ML models alongside data pipelines, design scalable AI architectures, and integrate them into cloud environments like AWS or Azure.
Job Technologies
Your role in the team
- You develop AI and ML models within a team, along with the appropriate data pipelines. You think not only in terms of models but also in scalable systems.
- You design robust, production-ready AI architectures and ensure their sustainable integration into existing cloud and data landscapes.
- Based on technical requirements, you design scalable AI and data architectures.
- You utilize ML inference techniques, perform fine-tuning, and develop powerful prompt engineering strategies.
- With your experience in AWS or Azure cloud environments, you design viable target architectures for AI use cases (e.g., RAG architectures, vector databases, agent-based systems) and seamlessly integrate them into existing enterprise architectures.
- You utilize Infrastructure-as-Code (e.g., Terraform, CloudFormation, Bicep) to build reproducible, scalable, and secure environments.
- You leverage your knowledge of MLOps, DevOps, and platform architectures to make AI solutions production-ready.
- You assume technical responsibility for smaller projects or subprojects - particularly for architecture design and technical implementation.
- You evaluate technology decisions in terms of scalability, security, governance, and cost.
- With your architectural understanding, you support less experienced team members as a technical sparring partner.
- You are always in close communication with the specialist departments and architects for project-related coordination, with your clients to ensure transparency in architecture decisions and manage expectations, with your project team to guarantee technical excellence and project success, and with the Woodmark team to share knowledge about AI architectures, cloud patterns, and best practices.
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Our expectations of you
Qualifications
- You are not only familiar with services but also understand their interplay within scalable system landscapes.
- You have very good knowledge of Python (optional Java or Scala).
- You have knowledge of container and orchestration technologies (Docker, Kubernetes, EKS, AKS).
- You have a strong understanding of Non-Functional Requirements such as Performance, Security, Compliance, and Cost Optimization.
- You actively monitor technological developments in the AI market and critically evaluate new services and architectural approaches regarding their practical usefulness.
- You are experienced in collaborating with stakeholders at various levels - from business units to IT architecture - and can communicate complex technical issues in a structured manner.
- You actively support other Woodmarkers in building AI and architecture expertise and proactively contribute your knowledge to the team.
- You have very good German and English skills and are confident in German-speaking projects, and you can also present technical documentation and architecture concepts clearly in English.
Experience
- You have at least 2 years of project experience in the Data or Cloud Engineering environment and a solid understanding of modern data and AI architectures.
- You have at least 3 years of experience in Data Engineering or Cloud Engineering.
- You have at least 2 years of experience in the field of Machine Learning or AI.
- You have extensive experience with AWS or Azure as well as AI cloud services such as Bedrock or Azure OpenAI.
- You have experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Bicep).
- You have experience with workflow management systems such as Airflow, AWS Step Functions, or comparable services.
- Ideally, you have experience with vector databases, RAG architectures, or agent-based AI systems.
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What we offer
- In our diverse client projects and communities, you will work with exciting trending topics, tools, and technologies.
- Thanks to flexible working hours and modern technology, you can work from anywhere — exactly as it suits the client and your personal situation.
- You can contribute and will be involved in the success.
- With Udemy, you have unlimited opportunities to further your education.
- We promote health and sponsor your fitness and yoga studio.
- Our events and celebrations support personal interaction and team spirit.
- Our salaries are competitive and particularly attractive thanks to company pension schemes, numerous in-kind benefits, special allowances, and social benefits.
- At Woodmark, you work climate-neutral.
- In terms of mobility, we offer you an attractive (electric) company car and Jobrad scheme.
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Topics that you deal with on the job
Job Locations
This is your employer
Woodmark Consulting Ag
Woodmark Consulting AG ist spezialisiert auf die Bereiche Analytics und Big Data. Unser Dienstleistungsportfolio reicht von der BI-Strategie, über Predictive Analytics, Analyse-, Planungs- und Steuerungssystemen bis zu den Themen Data Integration, Data Quality, Data Warehouse und Big Data.
Description
- Company Size
- 1-49 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
AI Data Engineer
- Location
- Grasbrunn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
