Project specification
Project expertise
Description
A company is looking for an experienced MLOps expert to optimize the development and implementation of machine learning operations. The goal of the project is to create robust and scalable ML pipelines that improve the efficiency and reliability of data processing and model deployment.
The role involves working with data scientists and developers to integrate ML models into production environments and ensure continuous improvements to the ML infrastructure.
- Development and implementation of scalable ML pipelines
- Optimization of model deployment and monitoring
- Collaboration with data scientists and developers to integrate ML models
- Ensuring the efficiency and reliability of the ML infrastructure
- Implementation of CI/CD processes for ML models
Requirements
- Experience in MLOps and the development of ML pipelines
- Knowledge of cloud technologies (e.g., AWS, Azure, or Google Cloud)
- Experience with containerization and orchestration (e.g., Docker, Kubernetes)
- Knowledge of CI/CD processes
- Programming skills in Python or a similar language
- Ability to collaborate in interdisciplinary teams
Not applying this time?
Get notified about similar projects matching your experience.
Frequently asked questions
The project is based in Berlin, Germany.
The project preferably starts in November 2026.
The project requires a commitment of 100% capacity (full-time).
The project offers 0 - 80% remote work.
The project requires the following languages: German (Advanced).
The project is related to the following industry: Information Technology.
The project covers the following business area: Information Technology.
Yes! Recommend a freelancer for the project and earn 30% of FRATCH's profits every time they get placed — for the duration of that project. Simply share your invite link with a colleague to get started.
To apply for the project, click the Apply button on the project page to submit your profile for review. We will forward your resume to the client and get back to you within a few days.
Join other experts who are already part of our network
