| Locatie: | Arnhem |
|---|---|
| Startdatum: | 06 January 2025 |
| Einddatum: | 31 December 2025 |
| Referentie nr: | HFALL000419 |
| Uren per week: | 36 |
Cloud MLOps Engineer for AI team
Start: 06-01-2025
Duur: 1 jaar met optie op verlenging
ZZP: NEE ook niet via leverancier
Standplaats: het team zit 2 dag per week op kantoor in Arnhem/ Amsterdam
Alliander
Alliander is the operator of the largest energy grid in the Netherlands. Our main task is to manage and expand our network. Alliander also plays a leading role in making the energy transition a reality. Examples include the expansion of our network with solar panels, charging stations for electric transport and heat pumps. To make the energy transition possible, Alliander is digitizing radically. After all, in the next 10 years we need to do more work than in the past 40. We are accelerating the transition to sustainable energy with a data-driven approach.
The Agile Release Train (ART) “Data & Analytics”
The ART Data & Analytics is responsible for delivering a state-of-the-art data landscape: future-proof, flexible, based on high standards and cost-conscious. In addition, we are working towards a situation where data products can be easily produced by data producers, maintained, found and used by data consumers both in our own organization and in the market.
The AI Acceleration Team
The team you will be working in aims to accelerate Alliander in the field of AI. It is a DevOps team with a Product Owner, Scrum Master, Tech Lead and MLOps engineers.
- Our customers are diverse: Mainly data science teams developing internal applications “Digitization teams”, analytics teams and also some business teams. We accelerate them by working on a number of themes:
- Being able to create fast and controlled models on AWS (MLOps, for data science teams)
- Insight and control through Al governance tooling
- Fast autonomous execution by AI agents
- Increase AI skills of employees through knowledge sharing
- Operations (management, support and continuous improvement on the MLOps tools and services we provide)
The AI Acceleration team is a platform team and as an engineer you do not train models yourself, but support other teams in this. The Team provides a standardized and configured environment with tooling for data analytics, MLOps and access to data. It also creates building blocks that facilitate the application of LLMs to Alliander data so that the stored knowledge can be used optimally.
Your role
As part of the DevOps team AI Acceleration, you will help build the products we build as a team. You are adept at platform design (AWS) using infra-as-code templates/scripts (CDK), professionalizing software and implementing the established software quality guidelines.
You have an affinity for ML/Analytics applications and can therefore relate well to data science teams. You are able to translate customer needs and functional specifications into technical solutions and then develop, test and manage these. In doing so, you use AWS (native) services and know which service is most suitable for which use case. We work in a self-managing team and expect you to develop a vision and influence the (technical) direction of the applications/pipelines and bring our users along with you (demos, documentation and traveler role).
Who you are
- You like building cloud native AWS solutions.
- The goal in your life is to play out github
- You enjoy interacting with our data science users where you actively listen to their needs to translate them into solutions
- Experimenting with new MLOps technology comes naturally to you
- Affinity with working in an Agile team
- Education level: higher professional education (HBO) or higher.
The experience you bring
Experience with:
- Python and/or TypeScript
- DevOps/MLOps of Analytics applications.
- AWS cloud services or other cloud providers
- Git, CI/CD and infrastructure-as-code (e.g., AWS CDK)
Affinity with:
- ML application development process and model lifecycle
- Yapping at team drinks
Nice to have:
- Knowledge about Snowflake, or other data warehouses
- Experience with workflow around Sagemaker, Jupyter notebooks
- Experience with AppStream, PyCharm, VSCode
- You understand the importance of model versioning and experiment tracking
The Technical Platforms business unit is leading Alliander's transition to a multilingual organization. Here we use English as a bridge language. Within the AI Acceleration team, the working language is English. Alliander offers English language courses if required.