onsite
Senior Machine Learning Engineer - PDR.cloud GmbH
ML Engineer
Lead end‑to‑end machine learning initiatives for a cloud‑based automotive repair SaaS, driving data analysis, model development, and production pipelines on AWS.
About the role
Key Responsibilities
- Own the full ML lifecycle: exploratory data analysis, feature engineering, model selection, and hyper‑parameter tuning.
- Design, implement, and maintain scalable ML pipelines on AWS (SageMaker, Lambda, Step Functions).
- Collaborate with data scientists and software engineers to integrate models into the SaaS platform and monitor performance in production.
- Develop automated model monitoring, drift detection, and retraining workflows.
- Document best practices, share knowledge, and mentor junior team members.
Requirements
- 5+ years of professional experience in machine learning and data science.
- Strong proficiency in Python, with experience in libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience deploying models to AWS services (SageMaker, Lambda, ECS).
- Solid understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Excellent problem‑solving skills and a passion for building production‑grade ML solutions.
Skills
pythonmachine learningaws