Required skills
- Dataiku DSS
- MLOps
- CI/CD
- Docker
- Linux
- Machine Learning
- Deployment
- Model Operation
- Cloud Platform
- Data Science
- Machine Learning Operations
- Dataiku
Languages: German
Job description
Seeking an experienced ML Platform Engineer to build, operate, and evolve a Machine Learning platform based on Dataiku DSS, focusing on MLOps, CI/CD, Docker, and Linux.
Project overview
Project Title
ML Platform Engineer – Dataiku DSS, MLOps & CI/CD
For a client project, we are looking for an experienced ML Platform Engineer to build, operate, and further develop a machine learning platform based on Dataiku DSS. The focus is on MLOps, CI/CD, as well as the use of Docker and Linux.
Responsibilities
- Operation and further development of Dataiku DSS
- Building and maintaining MLOps processes for development, deployment, and operation of ML models
- Implementation and optimization of CI/CD pipelines
- Development and management of containerized environments with Docker
- Administration and troubleshooting on Linux systems
- Support for data science teams in the deployment and operation of models
- Documentation of the platform and operating processes
Requirements
Framework Conditions
Search terms: ML Platform Engineer, Dataiku DSS, MLOps, CI/CD, Docker, Linux, Machine Learning, Deployment, Model Operation
Please send your current profile/CV in Word format with details on your availability and hourly rate (remote).
- Practical experience with Dataiku DSS
- Sound knowledge in MLOps and the operation of machine learning solutions
- Experience with CI/CD pipelines and corresponding development processes
- Good knowledge of Docker and Linux
- Structured, independent way of working and good communication skills
- Start: by agreement
- Duration: 6 months
- Workload: by agreement
- Location: remote / by agreement
- Contract Type: freelance collaboration
Project details
- Start: 2026-12
- Duration: 6 Monate
- Remote: hybrid
- Location: Remote, Deutschland, DE
- Languages: German
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