About the role:
We are seeking a skilled MLOps Engineer (m/f/d) to support and optimize the deployment and monitoring of machine learning (ML) and large language model (LLM) solutions. In this role you will bridge the gap between data science and engineering ensuring scalable efficient and reliable deployment of models in production. Youll work closely with data scientists engineers and product teams to design robust MLOps/LLMOps frameworks and contribute to a culture of innovation and best practices.
About your tasks:
- Develop and maintain CI/CD pipelines for deploying ML and LLM models in production ensuring rapid and reliable model iteration.
- Optimize the deployment process for LLMs considering cost latency and scalability constraints.
- Automate model retraining and redeployment processes to respond to changing data patterns.
- Set up and manage cloud and onpremise infrastructure for ML/LLM workloads on platforms such as AWS GCP or Azure.
- Work with containerization and orchestration tools (e.g. Docker Kubernetes) to ensure scalable and resilient model deployment.
- Implement data versioning and validation processes to maintain data integrity throughout the ML lifecycle.
- Use tools like MLflow for tracking experiments managing model versions and maintaining reproducibility.
- Document MLOps/LLMOps practices and mentor team members on deployment best practices.
Qualifications :
About you:
- Experience in MLOps DevOps or a related role with handson experience deploying ML/LLM models.
- Proficiency in cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).
- Experience with CI/CD tools (e.g. Jenkins GitLab) and ML workflow tools (e.g. MLflow Kubeflow).
- Strong scripting skills (Python Bash) and familiarity with infrastructureascode tools (e.g. Terraform) and experience with Git or version control mechanisms.
- Strong analytical and problemsolving skills.
Additional Information :
About your benefits:
In order to provide you with the best possible support for your individual needs whether its living a healthy life having enough time for your family or developing your skills we offer a wide range of different sitespecific benefits:
- Work from Home: If your job does not require you to be present in the office we can arrange the place you work from individually even for up to 20 days a year anywhere in the EU.
- Personal development: Grow! We support and encourage your individual development through various in and external trainings.
- Redcare events: We promote teambuilding through creative team events and celebrate our successes together at regularly scheduled parties.
- Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge.
- Vacation: 30 days paid vacation per annum (plus another day on Rosenmontag) and the option to take unpaid vacation of up to 10 days (after one year working with us).
Remote Work :
Yes
Employment Type :
Fulltime