(Senior) Machine Learning Engineer | (Senior) Machine Learning Engineer (m/w/d)
sipgate GmbH
Job Summary
As a (Senior) Machine Learning Engineer at sipgate, you will take full ownership of the model training pipeline, from data strategy and training to stable production operation. You will be responsible for building, training, and operating ML and LLM models, with a specific focus on efficient, domain-specific Small and Medium Language Models (SLMs/MLMs). Your day-to-day work involves developing fine-tuning strategies such as LoRA and PEFT, building reproducible training pipelines, and establishing robust ML/LLM Ops processes. You will also design RAG architectures with vector databases and collaborate closely with product and backend teams to integrate AI components into core communication products. This role is ideal for professionals who enjoy the intersection of model development, software engineering, and platform thinking. sipgate offers a highly agile environment with flat hierarchies, transparent salary structures, and a strong commitment to sustainability and work-life balance, including 30 days of vacation and no overtime.
Required Skills
Education
Not specified
Experience
- Several years of professional experience in Machine Learning and model training pipelines
- Proven experience in developing, training, and fine-tuning LLMs and SLMs
- Experience in building and maintaining end-to-end ML/LLM Ops pipelines
- Experience with data ingestion, feature pipelines, and experiment tracking
- Experience in system and product integration of AI components
Languages
Additional
- Must reside in Germany and be willing to work on-site in Düsseldorf at least once per month.