Das ist der Job
Develop and manage CI/CD pipelines for ML model training, testing, and deployment (e.g., GitHub Actions, Jenkins).
Darum lohnt es sich
Direct message the job poster from Annapurna
Principal Consultant - Software & Data at Annapurna Recruitment
Machine Learning Engineer - MLOps & Infrastructure Specialist - Germany - Remote
We are looking for a highly skilled Machine Learning Engineers with deep expertise in MLOps, model deployment, and production-grade machine learning systems .
In this role, you'll bridge the gap between data science and engineering to build robust, scalable ML pipelines and infrastructure that deliver real business value. You will collaborate with data scientists, software engineers, and DevOps to ensure models move smoothly from experimentation to production, operating reliably at scale.
Key Responsibilities
Design, build, and maintain end-to-end machine learning pipelines , from data ingestion to model deployment and monitoring. Implement model serving and orchestration using tools like MLflow, Kubeflow, Airflow, Docker, Kubernetes , or Triton .
Integrate feature stores (e.g., Feast, Tecton) to manage and serve features consistently. Monitor deployed models for drift, performance degradation, and operational issues </s
