Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design and maintain reusable components for machine learning in the cloud, implement MLOps practices, introduce real-time systems, and integrate Generative AI models for real-world applications.
Job Technologies
Your role in the team
- Design, implement, and maintain tools and reusable components that power our machine learning initiatives in the cloud.
- Scale up training and batch inference with ML frameworks (such as xgboost, scikit-learn) using Vertex AI, and implement real-time inference and GenAI systems.
- Contribute to internal Python libraries used across various data teams, packaged with pixi, and implement changes to our cookiecutter-based project templates.
- Implement and champion MLOps principles to ensure seamless integration, deployment, and monitoring of ML models using Gitlab CI for CI/CD and Dagster for workflow orchestration.
- Define and implement architecture for sending model outputs to various target systems, such as CRM tools (Marketing Cloud) or back-end services.
- Integrate and fine-tune cutting-edge Generative AI models for real-world applications.
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Our expectations of you
Qualifications
- Do you have a proven ability to train, evaluate, and deploy ML models across diverse data types and production environments (batch or real-time) using tools like FastAPI, Docker, Kubernetes & Vertex AI, and are you familiar with Generative AI technologies, including LLM integration (e.g., LangChain), RAG pipelines, and prompt engineering?
- Do you have a very good understanding of MLOps practices, including CI/CD automation, observability, and monitoring for ML systems?
- Do you have strong collaboration and system design skills, with the ability to simplify complex architectures and work effectively in agile, cross-functional teams?
Experience
- Do you have several years of experience in machine learning with end-to-end project ownership and strong Python and software engineering skills?
- Are you hands-on experienced in designing, building, and operating ML platforms (preferably on GCP), including model lifecycle management, experiment tracking, and orchestration tools?
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Benefits
More net
- 🚎Public Transport Allowance
- 🏝️Summer and Christmas Bonus
- 👷♂️Additional Insurance
- 💵Bonus Payments
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
Work-Life-Integration
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
- 🏠Home Office
- 🍼Day Care for Kids
Health, Fitness & Fun
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
Magenta Telekom
Graz, Wien
With over four million customers, or SIM-card holders, T-Mobile Austria is the nation's second largest mobile phone service provider with a market share of around 32%. The company's heart lies in its 1,300 employees.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication